2016.03.31
Ultra-high frame rate CMOS image sensors based on compressive sampling and their potential applications to microscopy
Dr. Keiichiro Kagawa (Research Institute of Electronics, Shizuoka University)
2016. 03. 31 (Thu) 14:45 ~ 15:15
Seminar Room 1, Myodaiji (132-134)
Division of Evolutionary Biology, Yosuke Tamada (7545)
Ultra-high frame rate CMOS image sensors based on compressive sensing that exploits nature of signal called sparsity enable efficient and highly-time-resolved observation of ultra-fast phenomena. A multi-aperture camera with 5×3 lenses and 64×108 pixels/aperture demonstrated an ultra-fast video acquisition for a compression ratio of 200%, the time resolution of 5ns, and the number of successive frames of 32. Now, a new image sensor enabling the time resolution of 500ps and 64-frame video capturing with ordinary single-aperture optics is being developed. One of the important features of our sensors is that they can observe both a single event and repetitive events. As for the repetitive events, noiseless integration in the charge domain will significantly increase the photosensitivity. We would like to discuss efficient highly-time-resolved bioimaging based on temporal and spatial sparsity for multi-component fluorescence lifetime imaging, stochastic super-resolution microscopy, and so on.