The possibility of identification and counting of native donor blood erythrocytes based by static, non-flow digital optical microscopy was studied. The object of study was the whole donor blood diluted by saline and placed into Goryaev's counting chamber. The sample was examined in transmitted light by a Lumam P-8 digital optical microscope equipped by a Basler acA920-40um camera. In order to identify erythrocytes by spectral characteristics two sets of micrographs of 20 pieces in each were obtained. In the first set there was no optical filter in the illumination channel of the microscope and in the second set an interference filter for a 420 nm wavelength with a 10 nm bandwidth was used. The characteristics of the interference filter were chosen to come more close to the Soret band of the RBC hemoglobin to obtain the best contrast for photographic images. The technique for automated analysis of micrographs using the OpenCV software was developed to recognize erythrocytes and to carry out their counting. The results of the computer RBC counting were compared with the manually counted red blood cells. It was found that for computer approach accepted the proportion of the erythrocytes identified and counted in averages was 97-98%.
The method of static (non-flow) spectral digital microscopy (SSDM) method to identify, to count and to determine the standard and individual characteristics of native blood erythrocytes is suggested. The object to study was the whole donor blood diluted by saline and placed into the counting Goryaev camber. Among the standard characteristics of erythrocytes, the following were determined: the concentration of erythrocytes in a blood sample RBC (Red Blood Cells concentration), the scatter of erythrocytes by volume RDW (Red cells Distribution Width), including RDW-SD and RDW-CV, hematocrit HCT, mean erythrocyte volume MCV (Mean Cell Volume). n addition, the possibility of measuring the average hemoglobin content in erythrocyte MCH (Mean Cell Hemoglobin), MCHC (Mean Corpuscular Hemoglobin Concentration), as well as the total content of hemoglobin HGB in the blood sample (Hemoglobin) was investigated. The peculiarity of SSCM method proposed lies in the fact that it fundamentally allows to determine not only the general hematological characteristics of blood samples (RBC, RDW-SD and RDW-CV, HGB), but also the mean values of the characteristics of native blood erythrocytes (MCV, MCH, MCHC), and also, and most importantly, the individual characteristics of each erythrocyte. The latter permitted the authors to introduce a new type of erythrocyte characteristics ICV, ICH, ICHC (Individual Cell Volume, Individual Cell Hemoglobin, Individual Corpuscular Hemoglobin Concentration). In turn, this made it possible to obtain the histograms of hemoglobin distribution in erythrocytes of a blood sample along with the traditional distribution of their volumes, which can serve as an additional tool in the field of hemodiagnostics. Thus, the paper shows that SSCM method makes it possible to compile an individual metrological "passport" for each erythrocyte of the blood sample under study - this is the main feature of this work.
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