PROJECT TITLE :

LOC-Based High-Throughput Cell Morphology Analysis System

ABSTRACT:

We have a tendency to gift a high-speed vision-based mostly morphological analysis system for fast-flowing cells during a microchannel. Real-time video processing is performed in hardware logic by extracting the moment features and bounding boxes of multiple cells in 512 × 256-pixel pictures at 200zero fps. The extracted cell regions are pushed into a 1st-in-initial-out (FIFO) buffer for real-time image-primarily based morphological analysis when being shrunk proportionally to a sure size. By extracting the bounding boxes of the cell regions using hardware logic and shrinking the cell region to a certain size to scale back processing time, our high-speed vision system can perform fast morphological analysis of cells at five hundred cells/s in fast microchannel flows. Moreover, snapshots of all passed cells underneath the microscope are stored for offline verification. The results of real-time experiments conducted to research the size, eccentricity, and transparency of sea urchin embryos flowing quick in microchannels verify the efficacy of our vision-primarily based cell analysis system.


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