3D Image Cytometry | Image cytometry provides a wealth of information about the native state of cells and tissues. The ability to perform fast 3D measurements further enhances the information throughput of image cytometers. In our lab we use different excitation modulation techniques to extract depth resolved, and hence 3D, images in various wide-field architectures.
Wide-field Hyperspectral imaging | Hyperspectral imaging has a number of applications in bio-imaging. Many biological molecules have distinct spectral signatures that may be sensitive to local biochemical microenvironments. Hyperspectral imaging can also be used to resolve spectrally overlapping fluorescent labels enabling highly multiplexed fluorescence imaging. However, in order to capture both spatial and spectral information the number of measurements needed can be overwhelmingly large. In our lab we work on hyperspectral imaging technologies that can inherently measure information in compressed forms. This compressed acquisition helps us cutdown measurement time by almost an order of magnitude.
High-throughput Raman imaging | Raman imaging can be used to extract chemical information of cell and tissue specimen, label-free. Label-free Raman based non-destructive pathology approaches have been proposed with the bottleneck being the imaging time. Imaging throughput can be improved by substituting point-scanning spectral imagers with wide-field geometries. However, wide-field techniques require engineering power efficient excitations to maintain the excitation power per point. With the help of our collaborators, we are working on engineering photonics chips to enable a power efficient excitation geometry for Raman imaging.
Wide-fieldMultiphoton Microscopy | Multiphoton microscopy is the gold standard for high-resolution deep, in-vivo imaging. For deep imaging, most multiphoton microscopes are configured as point scanning systems (PSTPMs) requiring slow, sequential raster scanning. Any parallelized approach would suffer from emission photons scattering inside the specimen, resulting degraded image contrast and image resolution. To enable deep wide-field imaging, we work on computational imaging techniques based on temporal focusing multiphoton microscopy.