Paper
7 December 2021 Differentiable microscopy (δμ) for high-throughput imaging cytometry
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Abstract
Imaging cytometry is a vital tool in many bio-imaging studies. Here we introduce, Differentiable Microscopy (δμ) a general end-to-end optimizable design framework to improve the throughput of imaging cytometry using content aware sampling and reconstruction.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dushan N. Wadduwage and Udith Haputhanthri "Differentiable microscopy (δμ) for high-throughput imaging cytometry", Proc. SPIE 11922, Advances in Microscopic Imaging III, 119221F (7 December 2021); https://doi.org/10.1117/12.2615813
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KEYWORDS
Microscopy

Image compression

Sensors

Compressive imaging

Detection and tracking algorithms

Image processing

Machine learning

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