An automatic red blood cell counting method based on spectral images

2016 ◽  
Author(s):  
Jingyi Lou ◽  
Mei Zhou ◽  
Qingli Li ◽  
Chen Yuan ◽  
Hongying Liu
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Counting ◽  
Counting Method ◽  
Blood Cell Counting

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

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...

scholarly journals Microfluidic Cartridges for Automated, Point-of-Care Blood Cell Counting

2016 ◽  
Vol 22 (2) ◽  
pp. 176-185
Author(s):  
Suzanne Smith ◽  
Phophi Madzivhandila ◽  
René Sewart ◽  
Ureshnie Govender ◽  
Holger Becker ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Blood Count ◽  
Point Of Care ◽  
Cell Counting ◽  
Full Blood Count ◽  
Diagnostic Tools ◽  
Cell Counts ◽  
Blood Cell Counting

Disposable, low-cost microfluidic cartridges for automated blood cell counting applications are presented in this article. The need for point-of-care medical diagnostic tools is evident, particularly in low-resource and rural settings, and a full blood count is often the first step in patient diagnosis. Total white and red blood cell counts have been implemented toward a full blood count, using microfluidic cartridges with automated sample introduction and processing steps for visual microscopy cell counting to be performed. The functional steps within the microfluidic cartridge as well as the surrounding instrumentation required to control and test the cartridges in an automated fashion are described. The results recorded from 10 white blood cell and 10 red blood cell counting cartridges are presented and compare well with the results obtained from the accepted gold-standard flow cytometry method performed at pathology laboratories. Comparisons were also made using manual methods of blood cell counting using a hemocytometer, as well as a commercially available point-of-care white blood cell counting system. The functionality of the blood cell counting microfluidic cartridges can be extended to platelet counting and potential hemoglobin analysis, toward the implementation of an automated, point-of-care full blood count.

scholarly journals Combined blood cell counting and classification with fluorochrome stains and flow instrumentation.

1976 ◽  
Vol 24 (1) ◽  
pp. 396-401 ◽  
Author(s):  
H M Shapiro ◽  
E R Schildkraut ◽  
R Curbelo ◽  
C W Laird ◽  
B Turner ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Counting ◽  
Disulfonic Acid ◽  
Counting Method ◽  
Cell Counts ◽  
Human Blood Cells ◽  
Manual Counting ◽  
Blood Smears ◽  
White Blood Cell Counts ◽  
Blood Cell Counting

A multiparameter flow cytophotometer was used to count and classify fixed human blood cells fluorochromed with a mixture of ethidium bromide (EB), brilliant sulfaflavine and a blue fluorescent stilbene disulfonic acid derivative (LN). The system measures light scattered by the cells and absorption at 420 nm for all cells. In addition, nuclear EB fluorescence (540 leads to 610 nm) and cytoplasmic fluorescence from LN (366 leads to 470 nm), brilliant sulfaflavine (420 leads to 520 nm) and EB exicted by energy transfer from LN (366 leads to 610 nm) are measured for all nucleated cells. This information is sufficient to perform red and white blood cell counts and to classify leukocytes as lymphocytes, monocytes, basophils, eosinophils or neutrophils. Light scattering and/or nuclear and cytoplasmic fluorescence values may be further analyzed to obtain the ratio of immature to mature neutrophils. Counts produced by the system are in reasonable agreement with those obtained by electronic cells counting and examination of Wright's-stained blood smears; some discrepancies appear to be due to systematic errors in the manual counting method.

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