Biophotonics - 2Virtual room: Optonique - 3
|Tuesday, May 26|
BP-2-26-1 / Wide-field Polarimetric Second Harmonic Generation Microscopy of Breast Cancer Tissue Microarray
* Kamdin Mirsanaye, TBA, Canada
BP-2-26-2 / Polarization SHG Microscopy of Collagen Fibrils with Plasmonic Gold Nanoparticles
Richard Cisek, Saint Mary's University, Canada
Laurent Kreplak, Dalhousie University
* Danielle Tokarz, Saint Mary's University
Individual collagen fibrils with plasmonic gold nanoparticles were investigated with polarization second harmonic generation (SHG) microscopy and atomic force microscopy (AFM) to reveal if SHG would be locally enhanced by the plasmons. Gold nanospheres with a plasmon resonance near the SHG wavelength were investigated. SHG intensity of the fibrils correlated with damage sites as observed by AFM. Localized sample damage of the fibrils likely resulted from thermal damage due to laser heated nanoparticles.
BP-2-26-3 / Design for Faster Measurement of Mueller Matrices in Double Pass Retinal Imaging
* Steven Esau, University of Waterloo, Canada
Melanie Campbell, University of Waterloo
Mueller matrix polarimetry is a powerful method of characterizing the interaction of a sample with polarized light, and usually requires sixteen measurements. We have shown that it can detect amyloid deposits in Alzheimer’s disease in the human retina. Acquisition speed is important in this application. There are six linear relationships between matrix elements due to symmetries of the system. This means that it should be possible to measure the Mueller matrix in as few as ten measurements. A concise method of doing so is presented. An optimized set of angles for a ten measurement, rotating quarter wave plate polarimeter is determined. Simulations are used to show that the performance of this design would be comparable to that of designs that use sixteen measurements.
BP-2-26-4 / Polychromatic digital holographic microscopy for denoising of quantitative phase images of neurons
* Céline Larivière-Loiselle, Centre de recherche CERVO, Canada
Erik Bélanger, Centre de recherche CERVO
By coupling a digital holographic microscope (DHM) with a supercontinuum laser source, we propose an experimental method to achieve a significant reduction in coherent noise in DHM quantitative phase imaging.
BP-2-26-5 / Measuring Absolute Cell Volume Using Quantitative-Phase Digital Holographic Microscopy
* Émile Rioux-Pellerin, Centre de recherche CERVO, Canada
Erik Bélanger, Centre de recherche CERVO
Pierre Marquet, Centre de recherche CERVO
Absolute cell volume and mean cellular refractive index are measured with a two-liquid decoupling procedure using quantitative-phase imaging and characterized fluidic devices.
BP-2-26-6 / Correction of complex wavefront distortion in holographic scanning microscopy system
* Maria Muravyeva, Privolzhsky Research Medical University, Russian Federation
Irina Mukhina, Privolzhsky Research Medical University
Yury Zakharov, Harvard University, Center for Advanced Biomedical Imaging and Photonics
Modification of laser scanning microscope (ZEISS LSM-510) was done. System for recording digital holograms in the scanning mode of microscope was obtained. Reconstruction of holograms in the presence of wavefront distortion was done by the MatLab algorithm.
BP-2-26-7 / A hyperspectral imaging system for automated prostate tumor detection
* Tien Nguyen, Polytechnique Montreal, Canada
Audrey Laurence, Polytechnique Montreal
Émile Beaulieu, Polytechnique Montreal
Mirela Birlea, Centre de recherche du Centre hospitalier de l'Université de Montréal
Feryel Azzi, Centre de recherche du Centre hospitalier de l'Université de Montréal
Dominique Trudel, Centre de recherche du Centre hospitalier de l'Université de Montréal
Frédéric Leblond, Polytechnique Montreal
Hyperspectral imaging (HSI) is a noninvasive method that can be used in several medical applications such as tumor detection. In this research project, prostate cancer is of interest and with the combination of fluorescence, diffuse reflectance and spectral frequency domain imaging, quantitative data analysis can be done to discriminate normal from benign and from cancerous tissue. To do so, HSI data has been acquired on several ex vivo human prostate slices from the Centre hospitalier de l’Université de Montréal (CHUM). These data are used for training and testing machine learning models.