时间:2015年7月1日上午11点-12点
地点:教三440 会议室
Label-free Cancer Cell Classification via Time-stretch Imaging with Optical Data Compression
Bahram Jalali
UCLA
A new class of high throughput real-time instruments based on the photonic time-stretch has led to the discovery of optical rogue waves, detection of rare cancer cells, and the highest analog-to-digital conversion performance ever achieved. The time stretch quantitative phase camera is an imaging modality that features continuous operation at about 100 million frames per second and shutter speed of less than a nanosecond. As an imaging flow-through microscope, the technology is in clinical testing for label-free classification of cancer cells in blood. While necessary for detection of rare cancer cells, the high throughput of this camera creates a big data problem. The system produces a large volume of data in a short time equivalent to several 4K movies per second. Such a data fire hose places a burden on data acquisition, storage, and processing operations and calls for technologies that compress images in optical domain and in real-time. Warped (anamorphic) stretch transform is a new optical techniques that performs non-uniform Fourier domain sampling enabling the first demonstration of data compression in optical domain. We also show that emulation of the time stretch in two dimensional space leads to a new class of digital image processing algorithms with application to edge detection.
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