Dr. Bartek P. Rajwa
Assistant Professor at Purdue Univ
SPIE Involvement:
Author | Instructor
Publications (23)

PROCEEDINGS ARTICLE | June 3, 2011
Proc. SPIE. 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII
KEYWORDS: Scattering, Databases, Organisms, Light scattering, Microorganisms, Pathogens, Genetics, Microbiology, Electrophoretic light scattering, Bacteria

PROCEEDINGS ARTICLE | May 16, 2011
Proc. SPIE. 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
KEYWORDS: Statistical analysis, Sensors, Spectroscopy, Organisms, Light scattering, Laser scattering, Pathogens, Machine learning, Library classification systems, Classification systems

PROCEEDINGS ARTICLE | May 5, 2009
Proc. SPIE. 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
KEYWORDS: Sensors, Pattern recognition, Particles, Light scattering, Flow cytometry, Pathogens, Image classification, Scatter measurement, Classification systems, Bacteria

PROCEEDINGS ARTICLE | February 11, 2009
Proc. SPIE. 7245, Image Processing: Algorithms and Systems VII
KEYWORDS: Image compression, Imaging systems, Image processing, Wavelets, Luminescence, Multispectral imaging, Image quality, Digital imaging, Electronic imaging, 3D image processing

PROCEEDINGS ARTICLE | February 22, 2008
Proc. SPIE. 6864, Biomedical Applications of Light Scattering II
KEYWORDS: Detection and tracking algorithms, Matrices, Organisms, Light scattering, Laser scattering, Microorganisms, Pathogens, Image classification, Classification systems, Bacteria

PROCEEDINGS ARTICLE | April 26, 2007
Proc. SPIE. 6554, Chemical and Biological Sensing VIII
KEYWORDS: Contamination, Detection and tracking algorithms, Organisms, Laser scattering, Computing systems, Feature extraction, Solids, Pathogens, Image classification, Bacteria

Showing 5 of 23 publications
Course Instructor
SC738: Biological Constraints of Optical Imaging
The physical limitations of biological optical microscopy are well established. However, considerably less attention is paid to the fact that the biological nature of the objects studied imposes additional constraints on microscopic imaging of cells and tissues. Biological systems are, by definition, dynamic. Therefore, any experimental procedure should address the biological and chemical changes during measurement in the studied system. The imaging itself may induce some of such changes, whereas others variations occur independently of microscopic observations. The goal of this short course is to present the factors that limit the accuracy, resolution, and reproducibility of microscopic imaging of biological objects. The discussion will focus on two methods of 3D optical imaging: confocal microscopy and two-photon microscopy. The course will recapitulate the fundamental physical limitations of optical imaging, and reevaluate their meaning in the context of practical biological microscopy. The following subjects will be discussed: influence of photon statistics and instrumental noise on accuracy and resolution, photophysical and biochemical stability of fluorescence labels, photodamage and phototoxicity, autofluorescence, and intrinsic optical properties of biological specimens. The course will also address the important issues of calibration and standardization. The performance of microscopic imaging of biological samples is usually evaluated in qualitative and subjective manner. There is no versatile, widely adopted standard for evaluation of optical microscopes used for biological studies, or for the quality of biological images collected. One of the aims of this short-course is to identify a set of statistical procedures for evaluation of microscope performance in the context of cell studies.
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