Abstract | ||
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We present a high-speed vision-based morphological analysis system for fast-flowing cells in 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 images at 2000 fps. The extracted cell regions are pushed into a first-in-first-out (FIFO) buffer for real-time image-based morphological analy... |
Year | DOI | Venue |
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2015 | 10.1109/TASE.2015.2462118 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Feature extraction,Microchannels,Morphology,Real-time systems,Lab-on-a-chip | Cell morphology,Computer vision,Video processing,FIFO (computing and electronics),Machine vision,Eccentricity (behavior),Computer science,Feature extraction,Microscope,Artificial intelligence,Microchannel | Journal |
Volume | Issue | ISSN |
12 | 4 | 1545-5955 |
Citations | PageRank | References |
2 | 0.39 | 8 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qingyi Gu | 1 | 153 | 22.13 |
Tomohiro Kawahara | 2 | 48 | 14.37 |
Tadayoshi Aoyama | 3 | 69 | 28.58 |
Takeshi Takaki | 4 | 222 | 38.04 |
Idaku Ishii | 5 | 355 | 64.37 |
Ayumi Takemoto | 6 | 2 | 0.73 |
Naoaki Sakamoto | 7 | 2 | 0.73 |