scholarly journals Research on Cell Counting Method Based on Flood Fill Algorithm

2021 ◽  
Vol 2010 (1) ◽  
pp. 012051
Author(s):  
Zile Ning ◽  
Shuo Wang ◽  
Xiao Li ◽  
Yuanhua Yu ◽  
Le Gao
2017 ◽  
Vol 19 (12) ◽  
pp. 124014 ◽  
Author(s):  
Xi Liu ◽  
Mei Zhou ◽  
Song Qiu ◽  
Li Sun ◽  
Hongying Liu ◽  
...  

2011 ◽  
Vol 16 (12) ◽  
pp. 1155-1155 ◽  
Author(s):  
Y Hayashi ◽  
N Nihonmatsu-Kikuchi ◽  
S-I Hisanaga ◽  
Y Tatebayashi

1973 ◽  
Vol 56 (4) ◽  
pp. 950-956
Author(s):  
Wesley N Kelley

Abstract A collaborative study was conducted to compare tbe automated optical somatic cell counting method (OSCC) with the direct microscopic somatic cell counting method (DMSCC) for raw milk. Samples were prefixed with formaldehyde and introduced into an Auto-Analyzer system. Dilution, clarification, and cell counting were performed automatically. Eight collaborators participated in the study, analyzing 48 samples in duplicate, using 2 different sampling rates. The results were compared with DMSCC counts reported by 3 different analysts. Statistical results show that the standard deviation for the DMSCC method was 0.1086 and for the OSCC method, at a sampling rate of 30/hr, 0.0911. From comparison of results it appears that the OSCC method is as accurate as, and more precise than, the DMSCC method. The faster sampling rate of the OSCC method (60/hr) has some effect on precision but little effect on accuracy. The method has been adopted as official first action.


1989 ◽  
Vol 224 (4) ◽  
pp. 447-451 ◽  
Author(s):  
Leo E. Hill ◽  
David J. Yount ◽  
Michael L. Garriott ◽  
Roy N. Tamura ◽  
Gregory S. Probst

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