Dr. Edbert J. Sie Profile

Dr. Edbert J. Sie

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Publications (11)

Proceedings Article | 13 March 2024 Presentation

Preliminary investigation of non-invasive blood pressure estimation using speckle contrast optical spectroscopy

Ariane Garrett, Byungchan Kim, Nil Gurel, Francesco Marsili, Edbert Sie, David Boas, Darren Roblyer

Proceedings Volume PC12850, PC128500B (2024) https://doi.org/10.1117/12.3001817

KEYWORDS: Speckle, Optical spectroscopy, Blood pressure, Education and training, Blood circulation, Sampling rates, Pulse signals, Optical testing, Error analysis, Blood

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SPIE Journal Paper | 8 May 2023 Open Access

Field programmable gate array compression for large array multispeckle diffuse correlation spectroscopy

Francesco Mattioli Della Rocca, Edbert Sie, Ryan Catoen, Francesco Marsili, Robert Henderson

JBO, Vol. 28, Issue 05, 057001, (May 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.5.057001

KEYWORDS: Single photon avalanche diodes, Field programmable gate arrays, Cameras, Signal to noise ratio, Photons, Actinium, Autocorrelation, Principal component analysis, Data compression, Diffusers

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Proceedings Article | 17 March 2023 Presentation

Preliminary investigation of non-invasive blood pressure estimation using speckle contrast optical spectroscopy

Ariane Garrett, Kenny Kim, Jacob Chin, Edbert Sie, Francesco Marsili, David Boas, Darren Roblyer

Proceedings Volume PC12363, PC123630M (2023) https://doi.org/10.1117/12.2651575

KEYWORDS: Speckle, Blood pressure, Optical spectroscopy, Blood circulation, Skin, Reflectivity, Optical testing, Multimode fibers, Feature extraction, Blood

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SPIE Journal Paper | 23 February 2022 Open Access

Development of a Monte Carlo-wave model to simulate time domain diffuse correlation spectroscopy measurements from first principles

Xiaojun Cheng, Hui Chen, Edbert Sie, Francesco Marsili, David Boas

JBO, Vol. 27, Issue 08, 083009, (February 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.8.083009

KEYWORDS: Monte Carlo methods, Photons, Scattering, Speckle, Sensors, Signal to noise ratio, Performance modeling, Tissues, Blood circulation, Tissue optics

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Significance: Diffuse correlation spectroscopy (DCS) is an optical technique that measures blood flow non-invasively and continuously. The time-domain (TD) variant of DCS, namely, TD-DCS has demonstrated a potential to improve brain depth sensitivity and to distinguish superficial from deeper blood flow by utilizing pulsed laser sources and a gating strategy to select photons with different pathlengths within the scattering tissue using a single source–detector separation. A quantitative tool to predict the performance of TD-DCS that can be compared with traditional continuous wave DCS (CW-DCS) currently does not exist but is crucial to provide guidance for the continued development and application of these DCS systems. Aims: We aim to establish a model to simulate TD-DCS measurements from first principles, which enables analysis of the impact of measurement noise that can be utilized to quantify the performance for any particular TD-DCS system and measurement geometry. Approach: We have integrated the Monte Carlo simulation describing photon scattering in biological tissue with the wave model that calculates the speckle intensity fluctuations due to tissue dynamics to simulate TD-DCS measurements from first principles. Results: Our model is capable of simulating photon counts received at the detector as a function of time for both CW-DCS and TD-DCS measurements. The effects of the laser coherence, instrument response function, detector gate delay, gate width, intrinsic noise arising from speckle statistics, and shot noise are incorporated in the model. We have demonstrated the ability of our model to simulate TD-DCS measurements under different conditions, and the use of our model to compare the performance of TD-DCS and CW-DCS under a few typical measurement conditions. Conclusion: We have established a Monte Carlo-Wave model that is capable of simulating CW-DCS and TD-DCS measurements from first principles. In our exploration of the parameter space, we could not find realistic measurement conditions under which TD-DCS outperformed CW-DCS. However, the parameter space for the optimization of the contrast to noise ratio of TD-DCS is large and complex, so our results do not imply that TD-DCS cannot indeed outperform CW-DCS under different conditions. We made our code available publicly for others in the field to find use cases favorable to TD-DCS. TD-DCS also provides a promising way to measure deep brain tissue dynamics using a short source–detector separation, which will benefit the development of technologies including high density DCS systems and image reconstruction using a limited number of source–detector pairs.

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SPIE Journal Paper | 5 August 2021 Open Access

Measuring neuronal activity with diffuse correlation spectroscopy: a theoretical investigation

Xiaojun Cheng, Edbert Sie, Stephanie Naufel, David A. Boas, Francesco Marsili

NPh, Vol. 8, Issue 03, 035004, (August 2021) https://doi.org/10.1117/12.10.1117/1.NPh.8.3.035004

KEYWORDS: Signal detection, Hemodynamics, Spectroscopy, Monte Carlo methods, Brain, Blood circulation, Scattering, Time metrology, Neurophotonics, Neurons

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Proceedings Article | 5 March 2021 Presentation

Dynamic speckle model for simulating fiber-based laser speckle contrast imaging (fb-LSCI)

Sharvari Zilpelwar, Xiaojun Cheng, Edbert Sie, Francesco Marsili, David Boas

Proceedings Volume 11641, 116410N (2021) https://doi.org/10.1117/12.2578608

KEYWORDS: Laser speckle contrast imaging, Fiber lasers, Imaging systems, Animal model studies, Speckle, Tissue optics, System integration, Spectroscopy, Particles

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Proceedings Article | 5 March 2021 Presentation

High-sensitivity multi-speckle diffuse correlation spectroscopy

Edbert Sie, Hui Chen, E-Fann Saung, Ryan Catoen, Tobias Tiecke, Mark Chevillet, Francesco Marsili

Proceedings Volume 11641, 116410L (2021) https://doi.org/10.1117/12.2578058

KEYWORDS: Spectroscopy, Signal to noise ratio, Speckle, Cerebral blood flow, Cameras, Tissues, Tissue optics, Oxygen, LIDAR, Imaging systems

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SPIE Journal Paper | 26 September 2020 Open Access

High-sensitivity multispeckle diffuse correlation spectroscopy

Edbert Sie, Hui Chen, E-Fann Saung, Ryan Catoen, Tobias Tiecke, Mark Chevillet, Francesco Marsili

NPh, Vol. 7, Issue 03, 035010, (September 2020) https://doi.org/10.1117/12.10.1117/1.NPh.7.3.035010

KEYWORDS: Signal to noise ratio, Cameras, Speckle, Solids, Sensors, Photons, Spectroscopy, Diffusers, Liquids, Neurophotonics

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Proceedings Article | 14 March 2018 Presentation

Observation of exciton redshift-blueshift crossover in monolayer WS2 (Conference Presentation)

Christopher Gies, Edbert Sie, Alexander Steinhoff, C. Lui, Q. Ma, Malte Rösner, Gunnar Schönhoff, Frank Jahnke, Tim Wehling, Y.-H. Lee, J. Kong, P. Jarillo-Herrero, Nuh Gedik

Proceedings Volume 10534, 1053408 (2018) https://doi.org/10.1117/12.2287771

KEYWORDS: Excitons, Plasma, Absorption spectroscopy, Chemical species, Doping, Modeling, Semiconductors, Dielectrics, Ultrafast laser spectroscopy, Optoelectronics

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Proceedings Article | 19 April 2017 Presentation

Optical tuning of electronic valleys (Conference Presentation)

Edbert Sie, Nuh Gedik

Proceedings Volume 10102, 101021Q (2017) https://doi.org/10.1117/12.2254939

KEYWORDS: Nanophotonics, Current controlled current source, Ultrafast phenomena, Semiconductors, Crystals, Optical properties, Ultrafast lasers, Magnetism, Photoemission spectroscopy

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Proceedings Article | 13 May 2016 Paper

Optical Stark effect in 2D semiconductors

Edbert Sie, James McIver, Yi-Hsien Lee, Liang Fu, Jing Kong, Nuh Gedik

Proceedings Volume 9835, 983518 (2016) https://doi.org/10.1117/12.2223462

KEYWORDS: Semiconductors, Optical properties, Absorption, Polarization, Physics, Tungsten, Excitons, Chemical species, Absorption spectroscopy, Magnetism

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Showing 5 of 11 publications

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