Archive: July, 2017

Quantitative assessment of neural outgrowth using spatial light interference microscopy

Posted on 07/17/17 by Chenfei Hu

PDF Link Optimal growth as well as branching of axons and dendrites is critical for the nervous system function. Neuritic length, arborization, and growth rate determine the innervation properties of neurons and define each cell’s computational capability. Thus, to investigate the nervous system function, we need to develop methods and instrumentation techniques capable of quantifying […]

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Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning

Posted on 07/17/17 by Chenfei Hu

PDF Link We present an approach for automatic diagnosis of tissue biopsies. Our methodology consists of a quantitative phase imaging tissue scanner and machine learning algorithms to process these data. We illustrate the performance by automatic Gleason grading of prostate specimens. The imaging system operates on the principle of interferometry and, as a result, reports […]

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