Identification and Counting of Erythrocytes of Native Human Donor Blood by Digital Optical Microscopy Using Spectral Filtered Illumination

Dubrovskii, V. A.; Zabenkov, I. V.; Karpocheva, E. P.; Torbin, S. O.

doi:10.1134/s0030400x21030073

Cited by 2 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, as opposed to the flow hematological analyzers, these works do not use the spectral properties of the formed elements. Exactly this attempt of erythrocytes identification and their count was made in [12]. In this work we demonstrate, that the static spectral digital microscopy allows to identify red blood cells at the level of 97−98%, that is as good as the best results of the similar works of other authors.…”

Section: Introductionsupporting

confidence: 60%

“…The first problem in the set of tasks on determination of erythrocytes characteristics is their identification and distinction among the formed elements of the analyzed blood sample. Erythrocytes identification principle, proposed in [12], is based on brightness comparison of pixels, belonged to erythrocytes, and pixels, corresponding to the photo image background. Such comparison is performed at two wave lengths: 416 and 620 nm.…”

Section: Erythrocytes Identification Principlesmentioning

confidence: 99%

“…for improvement of erythrocyte identification certainty. Erythrocytes identification and count algorithm is described in detail in [12]. Certainty of erythrocytes recognition, achieved in [12], compared to flow cytometry method (hemoanalyzer Sysmex XS 1000i) is 97% minimum.…”

Section: Erythrocytes Identification Principlesmentioning

confidence: 99%

“…In this work for erythrocytes identification and count the same principles and software products are used, as in [12], but other blood samples are studied and, above all, the purpose of the work is broader than in [12] determination of metrological characteristics of erythrocytes and blood samples in general. In this regard, some specific features of the experiments performing technique and methods of computer processing of the object photo images, related to the task, set in this work, will be described further.…”

Section: Erythrocytes Identification Principlesmentioning

confidence: 99%

“…This work can be considered as the development of [12]. Its purpose is to study a possibility of application of the static spectral digital microscopy (SSDM) method, proposed in [12], not just for identification and automated count of erythrocytes in native donor blood solution samples, but also for determination of such common metrological erythrocyte indices as MCV, MCH, MCHC, RDW, etc. Moreover, it seems that SSDM method will allow:…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Determination of individual and average characteristics of native blood erythrocytes by the static spectral digital microscopy method

Doubrovski

S.O.

I.V.

2022

Optics and Spectroscopy

View full text Add to dashboard Cite

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. Keywords: erythrocyte identification, erythrocyte counting, individual characteristics of erythrocytes, static spectral digital microscopy.

show abstract

Section: Introductionsupporting

confidence: 60%

Section: Erythrocytes Identification Principlesmentioning

confidence: 99%