Paper
24 March 2017 The counting of native blood cells by digital microscopy
S. O. Torbin, V. A. Doubrovski, I. V. Zabenkov, O. E. Tsareva
Author Affiliations +
Proceedings Volume 10336, Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII; 103360A (2017) https://doi.org/10.1117/12.2268575
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation
Abstract
An algorithm for photographic images processing of blood samples in its native state was developed to determine the concentration of erythrocytes, leukocytes and platelets without individual separate preparation of cells’ samples. Special "photo templates" were suggested to use in order to identify red blood cells. The effect of "highlighting" of leukocytes, which was found by authors, was used to increase the accuracy of this type of cells counting. Finally to raise the resolution of platelets from leukocytes the areas of their photo images were used, but not their sizes. It is shown that the accuracy of cells counting for native blood samples may be comparable with the accuracy of similar studies for smears. At the same time the proposed native blood analysis simplifies greatly the procedure of sample preparation in comparison to smear, permits to move from the detection of blood cells ratio to the determination of their concentrations in the sample.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. O. Torbin, V. A. Doubrovski, I. V. Zabenkov, and O. E. Tsareva "The counting of native blood cells by digital microscopy", Proc. SPIE 10336, Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII, 103360A (24 March 2017); https://doi.org/10.1117/12.2268575
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Blood

Image segmentation

Image processing

Photography

Microscopy

Microscopes

Image resolution

Back to Top