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Cytomorphology‐based microchip with contour extraction processing for bioparticle analysis
Author(s) -
Fu Yusheng,
Ji Hong
Publication year - 2019
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201800271
Subject(s) - computer science , image processing , noise (video) , extraction (chemistry) , chip , throughput , enumeration , bead , digital image processing , artificial intelligence , computer hardware , pattern recognition (psychology) , computer vision , image (mathematics) , chromatography , materials science , mathematics , chemistry , telecommunications , combinatorics , composite material , wireless
In this paper, we demonstrated an integrated digital image processing framework that is training‐free for high throughput beads or biological cells detection and enumeration by the bead aggregation splitting algorithm. By making contour extraction processing, the aggregated beads can be clearly split for precise counting. It can be potentially embedded on‐chip in a miniaturized medical equipment to automatically adjust illumination condition and de‐noise. This study demonstrates that the existing hematological analysis can be updated from manual classification and counting by high‐speed and precise machine‐based programs.