Cost-Effects of Increased Automation in Blood Cell Counting Used for Centralized Regional Service

1988 ◽  
Vol 48 ◽  
pp. 129-129
Author(s):  
J. Kekoni ◽  
S. Bjorkqvist ◽  
I. Penttila ◽  
E. Kentta
Keyword(s):  
Blood Cell ◽  
Cell Counting ◽  
Regional Service ◽  
Blood Cell Counting

scholarly journals Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1836 ◽  
Author(s):  
Xiwei Huang ◽  
Yu Jiang ◽  
Xu Liu ◽  
Hang Xu ◽  
Zhi Han ◽  
...  
Keyword(s):  
Machine Learning ◽  
Blood Cell ◽  
Super Resolution ◽  
Cell Counting ◽  
Single Frame ◽  
Blood Cell Counting

Real-time Red Blood Cell Counting and Osmolarity Analysis using a Photoacoustic-based Microfluidic System

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Wenxiu Zhao ◽  
Haibo Yu ◽  
Yangdong Wen ◽  
Hao Luo ◽  
Boliang Jia ◽  
...  
Keyword(s):  
Blood Cell ◽  
Physical Properties ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Diagnostic Procedure ◽  
Microfluidic System ◽  
Cell Counting ◽  
Blood Samples ◽  
System P ◽  
Blood Cell Counting

Counting the number of red blood cells (RBCs) in blood samples is a common clinical diagnostic procedure, but conventional methods are unable to provide the size and other physical properties...

Adaptive and automatic red blood cell counting method based on microscopic hyperspectral imaging technology

2017 ◽  
Vol 19 (12) ◽  
pp. 124014 ◽  
Author(s):  
Xi Liu ◽  
Mei Zhou ◽  
Song Qiu ◽  
Li Sun ◽  
Hongying Liu ◽  
...  
Keyword(s):  
Blood Cell ◽  
Hyperspectral Imaging ◽  
Red Blood Cell ◽  
Cell Counting ◽  
Counting Method ◽  
Imaging Technology ◽  
Blood Cell Counting

Microsystems for Blood Cell Counting

2008 ◽  
pp. 55-60
Author(s):  
Niccolò Piacentini ◽  
Danilo Demarchi ◽  
Pierluigi Civera ◽  
Marco Knaflitz
Keyword(s):  
Blood Cell ◽  
Cell Counting ◽  
Blood Cell Counting
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