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

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Bibliographische Detailangaben
Veröffentlicht in:ROBOMECH Journal Jg. 5
Hauptverfasser: Bilal Turan, Taisuke Masuda, Lei Wu, Anas Mohd Noor, Koji Horio, Toshiki Saito, Yasuyuki Miyata, Fumihito Arai
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Springer Science and Business Media LLC 16.10.2018
Schlagworte:
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-Zugang:Volltext
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Beschreibung
ISSN:2197-4225
DOI:10.60692/w2w00-p9d17