Blood cell count and morphology, and vitamin B12 concentration in pre- and post-weaned calves

Haematological indicators may resent physiological variation by age. Vitamin B12 promotes haematopoiesis. The aims of this study were: 1) to compare the values of the haematological variables and the concentration of vitamin B12 in pre- or post-weaned veal calves and 2) to identify the possible association between the values of the haematological variables and the concentration of B12 in the blood of veal calves. Blood was collected on the same day from 31 pre-weaned and 31 weaned calves of the Limousine breed from the same farm. The complete blood count, including the blood cell morphology evaluation, was performed and the serum B12, total protein and albumin concentrations were determined. The serum concentration of vitamin B12, the haematocrit (HCT), the haemoglobin concentration (HGB), the platelet count and the lymphocyte count were significantly higher in the weaned calves. A very strong positive correlation was found between the concentration of the vitamin B12 and HCT and HGB before weaning, while these correlations were moderately positive following weaning and in the total population tested as well. The observed variation in the blood cell count and morphology, such as poikilocytosis and the presence of macrocytes and hypersegmented neutrophils, along with the age of the animal seem to be related to the vitamin B12 concentration.

Blood cell morphology and leukocyte differential of Morelet’s crocodile (Crocodylus moreletii) (Crocodylidae)

The objective of the study was to determine the morphological characteristics of peripheral blood cells (erythrocytes, leukocytes, thrombocytes) and the leukocyte differential count (heterophils, eosinophils, basophils, lymphocytes, monocytes, azurophils) of captive Morelet’s crocodiles (Crocodylus moreletii) from Veracruz, Mexico. Peripheral blood from 80 apparently healthy farmed crocodiles (39 subadults [19 females, 20 males] and 41 adults [18 females, 23 males]) was examined for morphology through stained blood smears and manual count was used for the leukocyte differential. Blood was collected during the non-breeding (n = 42) and breeding (n = 38) seasons. Blood examination indicated similar morphological characteristics of blood cells in subadult and adult individuals and in females and males in both seasons. Erythrocytes were the largest blood cells and lymphocytes the smallest. The leukocyte differential count showed that lymphocytes were the most abundant leukocytes and basophils the least numerous. The percentages of some leukocytes showed difference by season (non-breeding and breeding) in subadult and adult males (p < 0.05) and by size (subadults and adults) in males and females but only in the non-breeding season (p < 0.05). The leukocytes that showed the greatest variation were lymphocytes, heterophils and eosinophils. The knowledge of blood cell morphology and the leukocyte differential count in healthy farmed Morelet’s crocodiles will allow the accurate diagnosis of some diseases of captive and wild individuals.

STABILITAS PEMERIKSAAN HEMATOLOGI RUTIN PADA SAMPEL DARAH YANG DIDIAMKAN PADA SUHU RUANG MENGGUNAKAN CELL-DYN RUBY

Complete blood count (CBC) is one of the laboratory tests most often influenced by doctors. The use of a hematology analyzer offers a wider range of probe parameters. The pre-analytic stage accounts for 70% of errors, one of which is the delay of the examination. Changes in report results were reported due to changes in blood cell morphology due to EDTA additives and room temperature. The aim of this research is the disturbance of stability of the results of examination of various CBC parameters in blood samples that are left at room temperature for 24 hours using a hematology analyzer. This experimental laboratory research was conducted at the Pramita Jemur Andayani Clinical Laboratory. Blood samples were obtained from volunteers, stored at room temperature and subjected to immediate examination (control) and after a delay of 6, 12 and 24 hours (treatment). A total of 30 respondents, consisting of 8 men and 22 women. The mean age of the respondents was 22 ± 1 year. There was no difference in the results of the examination (p-value > 0.05) in the RBC, Hct MCV, MCHC, PLT and PDW. The results of the examination (p-value < 0.05) were found on Hgb, MCH, RDW, WBC, NEU, IG, MONO, EO, BASO, LYM, PLT and PDW. Delayed CBC examinations using the CELL-DYN Ruby hematology analyzer directly gave different results on several parameters ranging from 6 hours delay of examination.

Sablefish (Anoplopoma fimbra Pallas, 1814) plasma biochemistry and hematology reference intervals including blood cell morphology

Plasma biochemistry and hematology reference intervals are integral health assessment tools in all medical fields, including aquatic animal health. As sablefish (Anoplopoma fimbria) are becoming aquaculturally and economically more important, this manuscript provides essential reference intervals (RI) for their plasma biochemistry and hematology along with reference photomicrographs of blood cells in healthy, fasted sablefish. Blood cell morphology can differ between fish species. In addition, blood cell counts and blood chemistry can vary between fish species, demographics, water conditions, seasons, diets, and culture systems, which precludes the use of RI’s from other fish species. For this study, blood was collected for plasma biochemistry and hematology analysis between June 20 and July 18, 2019, from healthy, yearling sablefish, hatched and reared in captivity on a commercial diet. Overnight fast of 16–18 hours did not sufficiently reduce lipids in the blood, which led to visible lipemia and frequent rupture of blood cells during analysis. Therefore, sablefish should be fasted for 24 to 36 hours before blood is collected to reduce hematology artifacts or possible reagent interference in plasma biochemistry analysis. Lymphocytes were the most dominant leukocytes (98%), while eosinophils were rare, and basophils were not detected in sablefish. Neutrophils were very large cells with Döhle bodies. In mammals and avian species, Döhle bodies are usually signs of toxic change from inflammation, but no such association was found in these fish. In conclusion, lipemia can interfere with sablefish blood analysis, and available removal methods should be evaluated as fasting for up to 36 h might not always be feasible. Also, more studies are required to establish RI for different developmental stages and rearing conditions.

Changes in Leukogram and Erythrogram Results in Bitches with Vaginitis

Vaginitis in female dogs is a problem most veterinarians face in their practice. It manifests as localized inflammation, and its variable etiology and different severities often make diagnosis problematic. The study consisted of comparing blood smears taken from 16 animals: 8 healthy bitches and 8 bitches with confirmed vaginitis. We analyzed the percentage of different types of white blood cells (leukogram) and changes in the shape of red blood cells (erythrogram) in both groups. We observed changes in red blood cell morphology, i.e., a higher percentage of lacrimocytes and schistocytes in female dogs with vaginitis compared to their healthy counterparts. The observed hematological changes may illustrate the severity of inflammation. The analysis of erythrograms showed a significantly higher percentage of lacrimocytes and schistocytes in diseased bitches (1.58 ± 1.19% and 0.13 ± 0.12%) compared to healthy animals (0.58 ± 0.38 and 0.00 ± 0.00, respectively). The obtained results may indicate that the analysis of erythrograms throughout the course of vaginitis in bitches may constitute a diagnostic tool, as opposed to the analysis of leukograms, which is more sensitive when it comes to the systemic inflammatory response of the organism. It seems that simultaneous analysis of erythrograms and leukograms may facilitate the diagnostic process in clinical practice.

A review of microscopic analysis of blood cells for disease detection with AI perspective

Background Any contamination in the human body can prompt changes in blood cell morphology and various parameters of cells. The minuscule images of blood cells are examined for recognizing the contamination inside the body with an expectation of maladies and variations from the norm. Appropriate segmentation of these cells makes the detection of a disease progressively exact and vigorous. Microscopic blood cell analysis is a critical activity in the pathological analysis. It highlights the investigation of appropriate malady after exact location followed by an order of abnormalities, which assumes an essential job in the analysis of various disorders, treatment arranging, and assessment of results of treatment. Methodology A survey of different areas where microscopic imaging of blood cells is used for disease detection is done in this paper. Research papers from this area are obtained from a popular search engine, Google Scholar. The articles are searched considering the basics of blood such as its composition followed by staining of blood, that is most important and mandatory before microscopic analysis. Different methods for classification, segmentation of blood cells are reviewed. Microscopic analysis using image processing, computer vision and machine learning are the main focus of the analysis and the review here. Methodologies employed by different researchers for blood cells analysis in terms of these mentioned algorithms is the key point of review considered in the study. Results Different methodologies used for microscopic analysis of blood cells are analyzed and are compared according to different performance measures. From the extensive review the conclusion is made. Conclusion There are different machine learning and deep learning algorithms employed by researchers for segmentation of blood cell components and disease detection considering microscopic analysis. There is a scope of improvement in terms of different performance evaluation parameters. Different bio-inspired optimization algorithms can be used for improvement. Explainable AI can analyze the features of AI implemented system and will make the system more trusted and commercially suitable.