This PDF file contains the front matter associated with SPIE Proceedings Volume 10060, including the Title Page, Copyright information, Table of Contents, and Conference Committee listing.

Reflectance confocal microscopy (RCM) is a non-invasive device that images skin lesions in vivo at a cellular resolution to guide management of patient care. While previous studies have demonstrated high accuracy of RCM in diagnosing skin cancers, most of these studies were performed by experts as a blinded analysis off-site and does not reflect true clinical scenario. We assessed the diagnostic potential of a novice RCM reader, in clinical settings, at the bedside. Over a period of 15 months (August 2015- November 2016), 168 lesions (from 128 cases) were imaged with RCM to determine BCC and or melanoma in dermoscopically equivocal lesions. To evaluate the learning curve of the novice reader, diagnostic accuracy was evaluated at the end of 15 months, as well as during the first half (8 months) and latter half (seven months) of the study. Histopathological diagnosis was available in 95/168 lesions, including 38 melanocytic lesions (ML: 13 melanomas and 25 nevi) and 57 non-melanocytic lesions (NML: 26 BCCs, 4 SCCs and 27 benign). The remaining 73/168 lesions (43.45%) were not biopsied (received topical treatment, monitoring). On RCM, 22/26 (84.61%) BCCs and 11/13 (84.61%) melanomas were correctly diagnosed. BCC was missed in 3/26 (11.53%) lesions and melanoma in 2/13 (15.38%) lesions; these lesions were diagnosed mostly as superficial BCCs and focal epidermal changes overlying deeply situated melanoma nodule on histopathology, respectively. False positive diagnosis of BCC was obtained in 7/23 (30.4%) lesions and of melanoma in 2/22 (4.5%) lesions; these were diagnosed mostly as benign inflamed keratosis and moderately atypical dysplastic nevus on histopathology, respectively. In 7 lesions BCC or melanoma could not be ruled out. A marked increase in the sensitivity and specificity was noticed between the two halves of the study. An overall high diagnostic accuracy of 80.28% with high sensitivity and specificity of 80.68% and 80.8%, respectively in diagnosing skin cancers was obtained. Based on this study, we identified some current limitations and potential pitfalls of RCM. The fact that the diagnostic accuracy of the novice reader increased with time, indicates a learning curve reading RCM images. Additionally, current technical limitations of RCM such as inability to differentiate various cell types, sampling error, and, shallow depth of imaging also lead to false diagnosis. Efforts are ongoing to overcome these challenges by building US based teaching-training program and through a multimodal imaging approach for better diagnosis and patient care.

Laser ablation offers a procedure for precise, fast and minimally invasive removal of superficial and early nodular basal cell carcinomas (BCCs). However, the lack of histopathological confirmation has been a limitation toward widespread use in the clinic. A reflectance confocal microscopy (RCM) imaging-guided laser ablation approach offers cellular-level histopathology-like feedback directly on the patient, which may guide and help improve the efficacy of this procedure. We performed an initial study on 44 BCCs on 21 patients in vivo (based in an ex vivo bench-top study reported in our earlier papers), using a pulsed erbium: ytterbium aluminum garnet laser and a contrast agent (aluminum chloride). Initial 10 lesions, the RCM imaging-guided detection of either presence of residual tumor or complete clearance was immediately confirmed with histopathology. Additionally, 34 BCCs on 15 patients were treated with RCM imaging-guided laser ablation, and the clearance of tumor is currently being monitored with follow-up imaging (i. e., no histopathology) at 3, 6 and 18 months. Thus far, the imaging resolution appears to be sufficient and consistent for monitoring efficacy in the wound, both immediately post-ablation and subsequently during recovery. The efficacy appears to be promising. However, further investigation and optimization to image over the entire wound (without missing any areas) need to be investigated.

Stratum Corneum is the outer covering of the body, which serves as a barrier to infection. The composition of the skin changes withexternal environmental factors, such as temperature, sun irradiation, air pollutants, chemical hazards, as well as other factors.Solar radiation,especially IR radiation is being used as medicine for wound healing processes, in cosmetology, in physiotherapy and warming of muscles. Also, it was reported that the IR radiation produces free radicals and the excess production of free radicals causes irreversible damages. It has been reported that heat may be transmitted by IR radiation, which results in raised skin temperature and the chronic heat exposure of human skin may cause alterations. Erythema igne is one such disease known to be caused by chronic heat exposure. Many techniques have been adopted for monitoring the changes in the skin, which includes the tape stripping and biopsy as the primary methodology. However, these in vitro techniques are invasive, time consuming, and may not provide the actual information as in in vivo conditions. Confocal Raman spectroscopy,which is non-invasive and real time was considered as a potential tool for the in vivo analysis of the distribution and characteristics of different metabolic conditions and their variations of the skin. In this regard, we aimed at in vivo characterization of the IR induced changes in the stratum corneum of human volunteers. The results of Raman spectral signatures with respect to the control and IR exposed skin will be discussed.

Marker free optical spectroscopy is a powerful tool for the rapid inspection of pathologically suspicious skin lesions and the non-invasive detection of early skin tumors. This goal can be reached by the combination of signal localization and the spectroscopical detection of chemical cell signatures. We here present the development and application of mid infrared spectroscopy (midIR) for the analysis of skin tumor cell types and three dimensional tissue phantoms towards the application of midIR spectroscopy for fast and reliable skin diagnostics. We developed standardized in vitro skin systems with increasing complexity, from single skin cell types as fibroblasts, keratinocytes and melanoma cells, to mixtures of these and finally three dimensional skin cancer phantoms. The cell systems were characterized with different systems in the midIR range up to 12 μm. The analysis of the spectra by novel data processing algorithms demonstrated the clear separation of all cell types, especially melanoma cells. Special attention and algorithm training was required for closely related mesenchymal cell types as dedifferentiated melanoma cells and fibroblasts. Proof of concept experiments with mixtures of in vivo fluorescence labelled skin cell types allowed the test of the new algorithms performance for the identification of specific cell types. The intense training of the software systems with various samples resulted in a increased sensitivity and specificity of the combined midIR and software system. These data highlight the potential of midIR spectroscopy as sensitive and specific future optical biopsy technology.

We have shown in an ex vivo human coronary artery study that the biochemical information derived from FLIM interpreted in the context of the morphological information from OCT enables a detailed classification of human coronary plaques associated with atherosclerosis. The identification of lipid-rich plaques prone to erosion or rupture and associated with sudden coronary events can impact current clinical practice as well as future development of targeted therapies for “vulnerable” plaques. In order to realize clinical translation of intravascular OCT/FLIM we have had to develop several key technologies. A multimodal catheter endoscope capable of delivering near UV excitation for FLIM and shortwave IR for OCT has been fabricated using a ball lens design with a double clad fiber. The OCT illumination and the FLIM excitation propogate down the inner core while the large outer multimode core captures the fluorescence emission. To enable intravascular pullback imaging with this endoscope we have developed an ultra-wideband fiber optic rotary joint using the same double clad fiber. The rotary joint is based on a lensless design where two cleaved fibers, one fixed and one rotating, are brought into close proximity but not touching. Using water as the lubricant enabled operation over the near UV-shortwave IR range. Transmission over this bandwidth has been measured to be near 100% at rotational frequencies up to 147 Hz. The entire system has been assembled and placed on a mobile cart suitable for cath lab based imaging. System development, performance, and early ex vivo imaging results will be discussed.

Recent advances will be described relating to the development and clinical translation of optical spectroscopy techniques designed to guide surgical interventions in brain and prostate oncology applications. The use of molecular imaging guidance systems can enable true intra-operative tissue identification, increasing the effectiveness of cancer surgery and potentially positively impacting patient survival. Surgical resection is a fundamental cancer treatment, but its effectiveness is reduced by the inability to rapidly and accurately identify cancer margins. We will introduce a portable intraoperative label-free multimodal optical spectroscopy system combining intrinsic fluorescence, diffuse reflectance, and Raman spectroscopy that can identify cancer in situ during surgery. We will show that this on-line guidance system can detect primary cancer such as glioma as well as metastatic melanoma and cancer of the lung and colon with an accuracy, sensitivity, and specificity of 97%, 100%, and 93% respectively. Moreover, a method will be presented, along with preliminary tissue classification results, based on the interrogation of whole human prostates from prostatectomies. The development and in vivo validation of an optical brain needle biopsy instrument will be presented demonstrating its ability to detect bulk tumor using Raman spectroscopy with the goal of reducing the number of non-diagnostic samples during a procedure. The extraction of tissue can cause life-threatening hemorrhage because of significant blood vessel injury during the procedure. We will demonstrate that a sub-diffuse optical tomography technique integrated with a commercial biopsy needle can detect the presence of blood vessels to limit the hemorrhage risk.

Stereotactic procedures that require insertion of needle-based instruments into the brain serve important roles in a variety of neurosurgical interventions, such as biopsy, catheterization, and electrode placement. A fundamental limitation of these stereotactic procedures is that they are blind procedures in that the operator does not have real-time feedback as to what lies immediately ahead of the advancing needle. Therefore, there is a great clinical need to navigate the instrument safely and accurately to the targets. Towards that end, we developed a forwarding-imaging needle-type optical coherence tomography (OCT) probe for avoiding the hemorrhage and guiding neurosurgical interventions. The needle probe has a thin diameter of 0.7 mm. The feasibility of vessel detection and neurosurgical guidance were demonstrated on sheep brain in vivo and human brain ex vivo. In addition, we further reduced the probe size to 0.3 mm using an optical Doppler sensing (ODS) fiber probe that can integrate with microelectrode recording (MER) to detect the blood vessels lying ahead to improve the safety of this procedure. Furthermore, to overcome the field-of-view limitation of OCT probe, we developed an MRI-compatible OCT imaging probe for neurosurgery. MRI/OCT multi-scale imaging integrates micro-resolution optical imaging with wide-field MRI imaging, and has potential to further improve the targeting accuracy.

A novel multimodal optical imaging approach for real-time assessment of surgical margins on breast cancer lumpectomy specimens is presented. Our approach is to target cancer cells using an optically silent peptide substrate containing two (NIR) fluorochromes, internally quenched, which are cleaved by highly expressed breast cancer enzymes, like urokinase-type plasminogen activator (uPA). Thus this agent becomes highly fluorescent only on the cancer area when the specimen is excited by a NIR laser beam. A fluorescence imager is used to highlight cancer-suspect margins on the surgical specimen, while high-resolution optical coherence tomography (OCT) imaging is used to visualize tissue morphology on the highlighted areas and confirm or rule out cancer presence. This technology will hopefully increase the success rate of cancer surgeries, reduce the risk of cancer recurrence and significantly reduce US healthcare costs.

The aim in brain tumor surgery is maximal tumor resection with minimal damage of normal neuronal tissue. Today diagnosis of tumor and definition of tumor borders intraoperatively is based on various visualization methods as well as on the histopathologic examination of a limited number of biopsy specimens via frozen sections. Unfortunately, intraoperative histopathology bears several shortcomings, and many biopsies are inconclusive. Therefore, the desirable treatment could be to have the ability to identify intraoperative cellular structures, and differentiate tumor from normal functional brain tissue on a cellular level. To achieve this goal new technological equipment integrated with new surgical concepts is needed.Confocal Laser Endomicroscopy (CLE) is an imaging technique which provides microscopic information of tissue in real-time. We are able to use these technique to perform intraoperative “optical biopsies” in bringing the microscope inside to the patients brain through miniaturized fiber-optic probes, and allow real-time histopathology. In our knowledge we are worldwide the only one neurosurgical group using CLE intraoperative for brain tumor surgery. We can detect and characterize intraoperative tumor cells, providing immediate online diagnosis without the need for frozen sections. It also provides delineation of borders between tumor and normal tissue on a cellular level, making surgical margins more accurate than ever before. The applications of CLE-assisted neurosurgery help to accurate the therapy by extending the resection borders and protecting the functionality of normal brain tissue in critical eloquent areas.

The single or multi-photon microscopy based on fluorescent labelling and staining is a sensitive and quantitative method that is widely used in molecular biology and medical research for a variety of experimental, analytical, and quality control applications. However, label-free method is highly desirable in biology and medicine when performing long term live imaging of biological system and obtaining instant tissue examination during surgery procedures. Recently, our group found that femtosecond laser surgery turned a variety of biological tissues and protein samples into highly fluorescent substances. The newly formed fluorescent compounds produced during the laser surgery can be excited via single- and two-photon processes over broad wavelength ranges. We developed a combined confocal and two-photon spectroscopic microscope to characterize the fluorescence from the new compound systematically. The structures of the femtosecond laser treated tissue were studied using Raman spectroscopy and transmission electron microscopy. Our study revealed the mechanisms of the fluorescence emission form the new compound. Furthermore, we demonstrated the applications of the fluorescent compounds for instant evaluation of femtosecond laser microsurgery, study of stem cell responses to muscle injury and neuro-regeneration after spinal cord injury.

Pancreatic cancer is the fourth leading cause of cancer death in the US. Currently, surgery is the only treatment that offers a chance of cure, however, accurately identifying tumor margins in real-time is difficult. Research has demonstrated that optical spectroscopy can be used to distinguish between healthy and diseased tissue. The design of a single-pixel imaging system for cancer detection is discussed. The system differentiates between healthy and diseased tissue based on differences in the optical reflectance spectra of these regions. In this study, pancreatic tissue samples from 6 patients undergoing Whipple procedures are imaged with the system (total number of tissue sample imaged was N=11). Regions of healthy and unhealthy tissue are determined based on SAM analysis of these spectral images. Hyperspectral imaging results are then compared to white light imaging and histological analysis. Cancerous regions were clearly visible in the hyperspectral images. Margins determined via spectral imaging were in good agreement with margins identified by histology, indicating that hyperspectral imaging system can differentiate between healthy and diseased tissue. After imaging the system was able to detect cancerous regions with a sensitivity of 74.50±5.89% and a specificity of 75.53±10.81%. Possible applications of this imaging system include determination of tumor margins during surgery/biopsy and assistance with cancer diagnosis and staging.

The analysis of the variations in the spectroscopic patterns of the key bio molecules using Native fluorescence spectroscopy, without exogenous labels, has emerged as a new trend in the characterization of the Physiological State and the Discrimination of Pathological from normal conditions of cells and tissues as the relative concentration of these bio-molecules serve as markers in evaluating the presence of cancer in the body. The aim of this unique study is to use these features of Optical spectroscopy in monitoring the behavior of cells to treatment and thus to evaluate the response to Chemotherapeutic agents and Radiation in Breast Cancer Patients. The results of the study conducted using NFS of Human blood plasma of biopsy proved Breast Cancer patients undergoing treatment are promising, enhancing the scope of Native fluorescence Spectroscopy emerging as a promising technology in the evaluation of Therapeutic Response in Breast Cancer Patients.

Systemic hyperthermia therapy exploits the fact that cancer cells are more sensitive to elevated temperatures than healthy tissue. Systemic application of hyperthermia externally usually leads to low efficiency treatment. Recently, our group and others have proposed an antibody conjugated magnetic nanoparticles (MNPs) approach to overcome the limitation of systemic hyperthermia. MNPs can bind specifically to the tumor sites, thus delivering internal highly effective targeted hyperthermia. However, such internal mechanism requires more complicated controls and monitoring. This current work presents a deep tissue temperature monitoring method to control hyperthermia effectiveness and minimize collateral damage to surrounding tissues. A low-frequency narrowband modulation of the RF field used for MNP heating leads to the generation of diffused thermal waves which propagate to the tissue surface and captured by a thermal camera. A Fourier domain, analytical heat transfer model is used for temperature monitoring algorithm. The ill-posed thermal inverse problem is solved efficiently by iterating over the source power until both the amplitude and phase match the recorded thermal image sequence. The narrow bandwidth thermal stimulation enables acquiring deep signals with high SNR. We show that thermal transverse resolution improves as the stimulation frequency increases even slightly above DC, enabling better heat source transverse separation and margin identification in the case of distributed tumors. These results can be used as a part of an overall image and treat system for efficient detection of tumors, manipulation of MNPs and monitoring MNP based hyperthermia.

Raman spectroscopy provides a wealth of diagnostic information to the surgeon with in situ cancer detection and label-free histopathology in clinical practice. Raman spectroscopy is a developing optical technique which can analyze biological tissues with light scattering. The difference in frequencies between the incident light and the scattering light are called Raman shifts, which correspond to the vibrational energy of the molecular bonds. Raman spectrum gives information about the molecular structure and composition in biological specimens. We had been previously reported that Raman spectroscopy could distinguish various histological types of human lung cancer cells from normal cells in vitro. However, to identify and detect cancer diagnostic biomarkers in vivo on Raman spectroscopy is still challenging, because malignancy can be characterized not only by the cancer cells but also by the environmental factors including immune cells, stroma cells, secretion vesicles and extracellular matrix. Here we investigate morphological and molecular dynamics in both cancer cells and their environment in xenograft models and spontaneous metastasis models using Raman spectroscopy combined with fluorescence microscopy and photoluminescence imaging. We are also constructing a custom-designed Raman spectral imaging system for both in vitro and in vivo assay of tumor tissues to reveal the metastasis process and to evaluate therapeutic effects of anti-cancer drugs and their drug delivery toward the clinical application of the technique.

Laser speckle from particles that are smaller than the wavelength of light resemble a random Gaussian field, but can be shown to contain a characteristic spectrum in frequency space. Speckle is caused by not only the instantaneous microstructure of nanoparticles in suspension that will fluctuate as they reorganize, but also by the magnetic and optical properties of the scattering medium itself. Here we demonstrate interactive tool that can be used to define similarities between seemingly random scattering fields. Optimization of the Fourier spatial frequency spectrum gives a representative pattern that can be directly correlated to the transport properties of the particles.

In non-pharmacological treatment of cardiac arrhythmias such as catheter ablation therapy, long-term treatment effectiveness is related in part to the quality of lesion generation. Superficial lesions may lead to arrhythmia recurrence by allowing recovery along conduction channels for arrhythmic impulses to propagate; conversely transmural lesions inhibit conduction. Conventional techniques rely on measurement of surrogate parameters such as change in bioelectrical impedance, or electrogram amplitude dampening as a qualitative assessment for lesion size. In previous work, we’ve demonstrated a relationship between lesion dimensions and spectroscopic parameters extracted using an optically-integrated ablation catheter. Though these metrics present some trend, a method to directly assess lesion transmurality maybe better suited. In this work, we report a method for direct recovery of lesion depth in cardiac tissue using diffusely reflected optical measurements and present initial in silico validation. Photon transport throughout a heterogeneous volume was simulated for a series of source-detector pairs and optical properties using a GPU-based Monte Carlo (MC) code. Results were used to generate a multi-dimensional look-up table for each collection geometry for partial to transmural lesions. A genetic algorithm-based two-step inversion method was employed to extract lesion transmurality. MC simulated optical measurements for various lesion sizes were generated using optical properties for ablated and normal cardiac tissue found in literature and were fitted using our algorithm. Recovered lesion depths ranged between 2-10% for lesions less than 3mm and were within 20% for lesions greater than 4mm. These results support the application of this technique for lesion validation for atrial tissue.

Disease diagnosis based on the visual inspection of the pathological presentations or symptoms on the epithelial tissue such as the skin are subjective and highly depend on the experience of the doctors. Vital diagnostic information for the accurate identification of diseases is usually located underneath the surface and its depth distribution is known to be related to disease progression. Although optical spectroscopic measurements are fast and non-invasive, the accurate retrieval of the depth-specific diagnostic information is complicated by the heterogeneous nature of epithelial tissues. The optical signal measured from a tissue is often the result of averaging from a large tissue volume that mixes information from the region of interest and the surrounding tissue region, especially from the overlaying layers. Our group has developed a series of techniques for depth sensitive optical measurements from such layered tissues. We will first review the earlier development of composite fiber-optic probe, in which the source-detector separation and the angles of source and detector fibers are varied to achieve depth sensitive measurements. Then the more recent development of non-contact axicon lens based probes for depth sensitive fluorescence measurements and the corresponding numerical methods for optimization will be introduced. Finally, the most recently developed snapshot axicon lens based probe that can measure Raman spectra from five different depths at the same time will be discussed. Results from tissue phantoms, ex vivo pork samples and in vivo fingernail measurements will be presented, which indicates the great potential of depth sensitive optical spectroscopy for clinical tissue diagnosis.

We investigated the preservation of non-local correlations between polarization-entangled photons when one of them traveled through brain tissue slices of different thicknesses. Using down-converted photons at a wavelength of 802 nm minimized the absorption by the tissue. After the light passed through the tissue samples, we performed quantum state tomography to obtain quantitative measures of the entanglement. We found that entanglement is preserved to a surprising degree, and when it degrades, it does so following a particular path in a tangle versus linear-entropy graph. Such a trajectory reveals direct transfer of probability from entangled to mixed state.

The rise of optical biopsy as an alternative to classical biopsy is dictated by ongoing technological progress: any type of measurements has to be fast, precise, non-invasive and implemented in-vivo. The use of polarized light for optical biopsy has a long history. As Mueller-Stokes formalism provides the most complete description of polarized light interaction with any type of sample (even depolarizing one) we explored the capabilities of in-house multi-wavelength Mueller imaging polarimeter for the detection of pre-malignancy and malignancy. Our studies were performed with both scattering phantom tissues (in transmission configuration) and specimens of human colon and uterine cervix (in backscattering configuration). For the interpretation of measurement results we decomposed Mueller matrix of a sample into product of elementary Mueller matrices of homogeneous diattenuator, retarder, and depolarizer. This phenomenological approach does not require the exact solution of Maxwell equations and provides the “effective” values of polarimetric properties of sample. Exploring differential Mueller matrix formalism for fluctuating medium we showed that depolarization in homogeneous turbid medium varied parabolically with the pathlength of transmitted light, while the standard deviation of elementary polarization properties of medium depends linearly on the concentration of scatterers. Neither scattering phantoms nor human tissue possessed any measurable diattenuation in backscattering configuration. The polarimetric images of tissue depolarization power, scalar birefringence and orientation of optical axis were compared with the analysis of histological slides. The spectral dependence of depolarization power and scalar birefringence values ascertained the potential of imaging Mueller polarimetry to discriminate healthy and diseased tissue zones.

Current report considers development of a unified Monte Carlo (MC) -based computational model for simulation of propagation of Laguerre-Gaussian (LG) beams in turbid tissue-like scattering medium. With a primary goal to proof the concept of using complex light for tissue diagnosis we explore propagation of LG beams in comparison with Gaussian beams for both linear and circular polarization. MC simulations of radially and azimuthally polarized LG beams in turbid media have been performed, classic phenomena such as preservation of the orbital angular momentum, optical memory and helicity flip are observed, detailed comparison is presented and discussed.

Image-guided procedures are performed frequently by radiologists to insert a catheter within a target vessel or lumen or to perform biopsy of a lesion. For instance, an interventional radiologist uses fluoroscopy during percutaneous biliary drainage procedure (a procedure during which a catheter is inserted through the skin to drain the bile from liver) to identify the location of the needle tip within liver parenchyma, hepatic blood vessel or bile duct. However, the identification of the target organ under fluoroscopy exposes the patient to x-ray irradiation, which may be significant if the time of procedure is prolonged. We have designed a fiber core needle system that may help the radiologist identify the location of the needle tip in real time without exposing the patient to x-ray. Our needle system transmits a low power modulated light into the tissue through a fiber cable embedded in the needle and detects the backscattered light using another fiber inside the needle. We were able to successfully distinguish the location of our prototype needle tip inside a cow liver phantom to identify if the needle tip was within liver parenchyma, liver vessels, or in the bile duct based on the recorded backscattered light.

A prototype mid-infrared spectral imaging system for rapid assessment of cells for cytological diagnosis is reported. Based on a fibre optic super-continuum source that has large spectral brightness and is coupled in to an acousto-optic tuneable filter that can rapidly scan over a set of wavelengths that are chosen to give a high level of selectivity for a specific skin disease. The system has the potential to collect an image cube of 100 wavelengths and 300k pixels in 2 seconds so that cells on living people could be analysed. The system has been evaluated with colon cells over 2700- 3100 cm^-1.

Subtle alterations in stromal tissue structures and organizations within the extracellular matrix (ECM) have been observed in several types of tissue abnormalities, including early skin cancer and wounds. Current microscopic imaging methods often lack the ability to accurately determine the extent of malignancy over a large area, due to their limited field of view. In this research we focus on the development of simple mesoscopic (i.e. between microscopic and macroscopic) biomedical imaging device for non-invasive assessment of ECM alterations over a large, heterogeneous area. In our technology development, a telecentric lens, commonly used in machine vision systems but rarely used in biomedical imaging, serves as a key platform to visualize alterations in tissue microenvironments in a label-free manner over a clinically relevant area. In general, telecentric imaging represents a simple, alternative method for reducing unwanted scattering or diffuse light caused by the highly anisotropic scattering properties of biological tissue. In particular, under telecentric imaging the light intensity backscattered from biological tissue is mainly sensitive to the scattering anisotropy factor, possibly associated with the ECM. We demonstrate the inherent advantages of combining telecentric lens systems with hyperspectral imaging for providing optical information of tissue scattering in biological tissue of murine models, as well as light absorption of hemoglobin in blood vessel tissue phantoms. Thus, we envision that telecentric imaging could potentially serve for simple site-specific, tissue-based assessment of stromal alterations over a clinically relevant field of view in a label-free manner, for studying diseases associated with disruption of homeostasis in ECM.

Worldwide, up to 40% of the breast conserving surgeries require additional operations due to positive resection margins. We propose to reduce this percentage by using hyperspectral imaging for resection margin assessment during surgery. Spectral hypercubes were collected from 26 freshly excised breast specimens with a pushbroom camera (900-1700nm). Computer simulations of the penetration depth in breast tissue suggest a strong variation in sampling depth (~0.5-10 mm) over this wavelength range. This was confirmed with a breast tissue mimicking phantom study. Smaller penetration depths are observed in wavelength regions with high water and/or fat absorption. Consequently, tissue classification based on spectral analysis over the whole wavelength range becomes complicated. This is especially a problem in highly inhomogeneous human tissue. We developed a method, called derivative imaging, which allows accurate tissue analysis, without the impediment of dissimilar sampling volumes. A few assumptions were made based on previous research. First, the spectra acquired with our camera from breast tissue are mainly shaped by fat and water absorption. Second, tumor tissue contains less fat and more water than healthy tissue. Third, scattering slopes of different tissue types are assumed to be alike. In derivative imaging, the derivatives are calculated of wavelengths a few nanometers apart; ensuring similar penetration depths. The wavelength choice determines the accuracy of the method and the resolution. Preliminary results on 3 breast specimens indicate a classification accuracy of 93% when using wavelength regions characterized by water and fat absorption. The sampling depths at these regions are 1mm and 5mm.

Type 1diabetes (T1D) is an autoimmune disorder that occurs due to the rapid destruction of insulin-producing beta cells, leading to insulin deficiency and the inability to regulate blood glucose levels and leads to destructive secondary complications. Advanced glycation end (AGEs) products, the result of the cross-linking of reducing sugars and proteins within the tissues, are one of the key causes of major complications associated with diabetes such as renal failure, blindness, nerve damage and vascular changes. Non-invasive techniques to detect AGEs are important for preventing the harmful effects of AGEs during diabetes mellitus. In this study, we utilized multiphoton microscopy to image biopsies taken from control rats and compared them to biopsies taken from streptozotocin (STZ) induced adult male diabetic rats. This was done at two and four weeks after the induction of hyperglycemia (>400 mg/dL) specifically to evaluate the effects of glycation on collagen. We chose to use an in-situ multiphoton microscopy method that combines multiphoton auto-florescence (AF) and second harmonic generation (SHG) to detect the microscopic influence of glycation. Initial results show high auto-florescence levels were present on the collagen, as a result of the accumulation of AGEs only two weeks after the STZ injection and considerably higher levels were present four weeks after the STZ injection. Future projects could involve evaluating advanced glycation end products in a clinical trial of diabetic patients.

The gold standard for locating colonic polyps is a white light endoscope in a colonoscopy, however, polyps smaller than 5 mm can be easily missed. Modified procedures such as narrow band imaging have shown only marginal increases in detection rates. Spectral imaging is a potential solution to improve the sensitivity and specificity of colonoscopies by providing the ability to distinguish molecular fluorescence differences in tissues. The goal of this work is to implement a spectral endoscopic light source to acquire spectral image data of colorectal tissues. A beta-version endoscope light source was developed, by retrofitting a white light endoscope light source (Olympus, CLK-4) with 16 narrow band LEDs. This redesigned, beta-prototype uses high-power LEDs with a minimum output of 500 mW to provide sufficient spectral output (0.5 mW) through the endoscope. A mounting apparatus was designed to provide sufficient heat dissipation. Here, we report recent results of our tests to characterize the intensity output through the light source and endoscope to determine the flat spectral output for imaging and intensity losses through the endoscope. We also report preliminary spectral imaging data from transverse pig colon that demonstrates the ability to result in working practical spectral data. Preliminary results of this revised prototype spectral endoscope system demonstrate that there is sufficient power to allow the imaging process to continue and potentially determine spectral differences in cancerous and normal tissue from imaging ex vivo pairs. Future work will focus on building a spectral library for the colorectal region and refining the user interface the system for in vivo use.

The determination of the oxygen partial pressure (pO₂) in real time in living biological tissues is of high interest for numerous therapeutics, including photodynamic therapy (PDT) and radiotherapy. The minimally invasive and real-time measurement of the pO₂ also enables to obtain interesting fundamental information regarding the metabolic activities in cells and tissues. The development of time-resolved luminescence measurement (TRLM) methods combined with the availability of new oxygen-sensitive molecular probes is at the origin of the significant progress that have been achieved during these past decades to measure the pO₂ in living organisms. These probes include porphyrins, such as aminolevulinic acid-induced protoporphyrin IX (PPIX), which is an approved photosensitizer. Using the photosensitizer to probe the pO₂ is of high interest in PDT since the level of oxygen is measured at the precise location where the phototoxic mechanisms take place. However, PPIX has drawbacks to measure the pO₂ by TRLM, including its significant photobleaching. Since the PPIX excitation during pO₂ measurements leads to the generation of its photoproducts, we studied the impact of their luminescence on the measurement of the PPIX triplet state lifetime in solution and in vivo on the Chick’s Chorioallantoic Membrane (CAM) model. We performed this study under various oxygen conditions. Our results indicate that perturbations induced by these photoproducts can be avoided if the PPIX luminescence is detected between 620 and 640 nm, or if PPIX is excited at 405 nm with light doses < 1 J/cm².

Endogenous fluorescence is a powerful technique for probing both structure and function of tissue. We show that enabling wide-field fluorescence microscopy with chemometrics can significantly enhance the performance of tissue diagnosis with endogenous fluorescence. The spatial distribution and absolute concentration of fluorophores is uncovered with non-negative factorization aided by the spatial diversity from microscopic autofluorescence color images. Fluorescence quantification in terms of its absolute concentration map avoids issues dependent on specific measurement approach or systems and yields biologically meaningful data. The standardization of endogenous fluorescence in terms of absolute concentration will facilitate its translation to the clinics and simplifies the assessment of competing methods relating to tissue fluorescence.

The main aim of this study was to assess conditions at which simple yeast-based model organism produces maximal levels of protoporphyrin IX (PpIX) after an exogenous administration of its precursor, 5-aminolevulinic acid (ALA), and the ferrous-ion chelator 2,2’-bipyridyl.

We observed that the fluorescing porphyrin, produced after these administrations, was likely to be PpIX since fluorescence spectroscopy of the porphyrins produced endogenously in yeast cells resembles that of PpIX in DMSO and in vivo in the chick’s chorioallantoic membrane model. Also, fluorescence lifetimes of these porphyrins are very similar to that of PpIX in vitro and in vivo. This suggests that PpIX is the main fluorescent compound produced by yeast in our conditions. We found that the conditions at which yeast produces the maximal PpIX were a synchronous administration of 5 μM ALA and 1 mM 2,2’-bipyridyl for yeast incubated in aqueous glucose and 1 mM 2,2’-bipyridyl in the presence of YPD medium.

Such a simple model is of high interest to study basic mechanisms involved in the mitochondrial respiration since PpIX, which is produced in this organelle, can be used as an oxygen sensor, or to perform photodynamic therapy and photodiagnosis. Since the absorption and scattering coefficients of this model are much smaller than those of soft tissues over the visible part of the spectrum, a version of this model loaded with appropriated amounts of light absorbing and scattering particles could be designed as a phantom to mimic tumors containing PpIX, a useful tool to optimize certain cancer photodetection set-ups.

We report structured interferometry features in femtosecond supercontinuum generated with power near to supercontinuum generation threshold. We argue that these structures arise from the coherent superposition of supercontinuum generated from different sources of supercontinuum as pulse split into two daughter pulses. Increase in input pulse energy creates several more temporal pulse fragments and disrupts interference resulting in the typical feature of continuous broad supercontinuum. Such an understanding of supercontinuum generation process is critical to the use of supercontinuum as the light source for use in understanding the time dynamics and imaging of bio systems.

The Resonance Raman (RR) spectra of basal cell carcinoma (BCC) and normal human skin tissues were analyzed using 532nm laser excitation. RR spectral differences in vibrational fingerprints revealed skin normal and cancerous states tissues. The standard diagnosis criterion for BCC tissues are created by native RR biomarkers and its changes at peak intensity. The diagnostic algorithms for the classification of BCC and normal were generated based on SVM classifier and PCA statistical method. These statistical methods were used to analyze the RR spectral data collected from skin tissues, yielding a diagnostic sensitivity of 98.7% and specificity of 79% compared with pathological reports.

Oral cancer is the most frequent type of cancer that occurs with 75000 to 80000 new cases reported every year in India. The carcinogens from tobacco and related products are the main cause for the oral cancer. ATR-FTIR method is label free, fast and cost-effective diagnostic method would allow for rapid diagnostic results in earlier stages by the minimal chemical changes occur in the biological metabolites available in the blood plasma. The present study reports the use of ATR-FTIR data with advanced statistical model (LDA-ANN) in the diagnosis of oral cancer from normal with better accuracy. The infrared spectra were acquired on ATR-FTIR Jasco spectrophotometer at 4 cm^-1 resolution, 30 scans, in the 1800-900 cm^-1 spectral range. Each sample had 5 spectra recorded from each blood plasma sample. The spectral data were routed through the multilayer perception of artificial neural network to evaluate for the statistical efficacy. Among the spectral data it was found that amide II (1486 cm^-1) and lipid (1526 cm^-1) affords about 90 % in the discrimination between groups using LDA. These preliminary results indicate that ATR-FTIR is useful to differentiate normal subject from oral cancer patients using blood plasma.

During metabolism the metabolites such as hormones, proteins and enzymes were released in to the blood stream by the cells. These metabolites reflect any change that occurs due to any disturbances in normal metabolic function of the human system. This was well observed with the altered spectral signatures observed with fluorescence spectroscopic technique. Previously many have reported on the significance of native fluorescence spectroscopic method in the diagnosis of cancer. As fluorescence spectroscopy is sensitive and simple, it has complementary techniques such as excitation-emission matrix, synchronous and polarization. The fluorescence polarization measurement provides details about any association or binding reactions and denaturing effects that occurs due to change in the micro environment of cells and tissues. In this study, we have made an attempt in the diagnosis of oral cancer at 405 nm excitation using fluorescence polarization measurement. The fluorescence anisotropic values calculated from polarized fluorescence spectral data of normal and oral cancer subjects yielded a good accuracy when analyzed with linear discriminant analysis based artificial neural network. The results will be discussed in detail.

Cancer is one of the most common human threats around the world and diagnosis based on optical spectroscopy especially fluorescence technique has been established as the standard approach among scientist to explore the biochemical and morphological changes in tissues. In this regard, the present work aims to extract spectral signatures of the various fluorophores present in oral tissues using parallel factor analysis (PARAFAC). Subsequently, the statistical analysis also to be performed to show its diagnostic potential in distinguishing malignant, premalignant from normal oral tissues. Hence, the present study may lead to the possible and/or alternative tool for oral cancer diagnosis.

Cancer is one of the most common threat to human beings and it increases at an alarming level around the globe. In recent years, due to the advancements in opto-electronic technology, various optical spectroscopy techniques have emerged to assess the photophysicochemical and morphological conditions of normal and malignant tissues in micro as well as in macroscopic scale. In this regard, diffuse reflectance spectroscopy is considered to be the simplest, cost effective and rapid technique in diagnosis of cancerous tissues. In the present study, the hemoglobin concentration in normal and cancerous oral tissues was quantified and subsequent statistical analysis has been carried out to verify the diagnostic potentiality of the technique.

Biomedical research and clinical diagnosis would benefit greatly from full volume determinations of anatomical phenotype. Comprehensive tools for morphological phenotyping are central for the emerging field of phenomics, which requires high-throughput, systematic, accurate, and reproducible data collection from organisms affected by genetic, disease, or environmental variables. Theoretically, complete anatomical phenotyping requires the assessment of every cell type in the whole organism, but this ideal is presently untenable due to the lack of an unbiased 3D imaging method that allows histopathological assessment of any cell type despite optical opacity. Histopathology, the current clinical standard for diagnostic phenotyping, involves the microscopic study of tissue sections to assess qualitative aspects of tissue architecture, disease mechanisms, and physiological state. However, quantitative features of tissue architecture such as cellular composition and cell counting in tissue volumes can only be approximated due to characteristics of tissue sectioning, including incomplete sampling and the constraints of 2D imaging of 5 micron thick tissue slabs. We have used a small, vertebrate organism, the zebrafish, to test the potential of microCT for systematic macroscopic and microscopic morphological phenotyping. While cell resolution is routinely achieved using methods such as light sheet fluorescence microscopy and optical tomography, these methods do not provide the pancellular perspective characteristic of histology, and are constrained by the limited penetration of visible light through pigmented and opaque specimens, as characterizes zebrafish juveniles. Here, we provide an example of neuroanatomy that can be studied by microCT of stained soft tissue at 1.43 micron isotropic voxel resolution. We conclude that synchrotron microCT is a form of 3D imaging that may potentially be adopted towards more reproducible, large-scale, morphological phenotyping of optically opaque tissues. Further development of soft tissue microCT, visualization and quantitative tool development will enhance its utility.

This Conference Presentation was recorded at SPIE Photonics West 2017 held in San Francisco, California, United States.