A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm

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Bibliographic Details
Published in:	ROBOMECH Journal Vol. 5
Main Authors:	Bilal Turan, Taisuke Masuda, Lei Wu, Anas Mohd Noor, Koji Horio, Toshiki Saito, Yasuyuki Miyata, Fumihito Arai
Format:	Journal Article
Language:	Japanese
Published:	Springer Science and Business Media LLC 16.10.2018
Subjects:	Algorithm Artificial intelligence Automation B-cells Biochemistry Biochemistry, Genetics and Molecular Biology Biological system Biology Biomedical engineering Cancer Cell Cell counting Cell cycle Chemistry Circulating tumor cell Comprehensive Integration of Single-Cell Transcriptomic Data Computer science Control engineering systems. Automatic machinery (General) Engineering FOS: Biological sciences FOS: Medical engineering FOS: Nanotechnology Genetics Histogram Histogram of Oriented Gradients features Image (mathematics) Industrial engineering. Management engineering Information technology Lab-on-a-Chip Life Sciences Machine design and drawing Machine learning Materials science Mechanical engineering and machinery Metastasis Microfluidic chip Microfluidic Devices Microfluidic Techniques for Particle Manipulation and Separation Microfluidics Molecular Biology Nanotechnology Paper-Based Diagnostic Devices Paper-Based Microfluidics Physical Sciences Support vector machine T T-cells T1-995 T55.4-60.8 T58.5-58.64 T59.5 Technology Technology (General) TJ1-1570 TJ212-225 TJ227-240
ISSN:	2197-4225
Online Access:	Get full text
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ISSN:	2197-4225
DOI:	10.60692/w2w00-p9d17