scholarly journals The effect of VMP35 supplement ingredients encapsulated in a novel Phospholipid Prodosome SK713 SLP nutrient delivery technology on properties of live human blood.

2015 ◽  
Vol 5 (9) ◽  
pp. 292 ◽  
Author(s):  
Kenneth Blum ◽  
B. William Downs ◽  
Steven Kushner ◽  
Ted Aloisio ◽  
Frans J. Cronjé

Background: In North America digestive malfunction in terms of disintegration, dissolution, and absorption of food and nutrients, is a widespread malady. Malabsorption is also an exacerbating factor in most chronic degenerative diseases that might benefit from dietary supplementation. The purpose of this experiment was to determine, as shown by changes in properties of live blood, whether, a novel soy-lecithin-phospholipid-nutrient encapsulation technology could promote rapid bioavailability and bioactivity of a VMP35 nutraceutical formulation encapsulated within its clustoidal multilamellar Soy Lecithin Phospholipid (SLP) liquid SK713 SLP structures. Method: Changes in peripheral blood smears from 38 subjects were measured utilizing peripheral live blood cell imaging (LBCI) with phase contrast microscopy. Results: Compared to baseline and control, consistently and reproducibly, the SK713 SLP technology effected positive changes in the blood as demonstrated by observable morphological, hematological and rheological changes five minutes from intake and sustained for at least 30 minutes post intake. Conclusions: These results showed that the SK713 SLP system makes an important contribution by increasing the potential benefits of dietary supplementation to those patients with compromised digestive processes. We encourage additional research on this novel delivery system believing that it has potential impact on future therapy.  Key Words: digestive malfunction live blood cell imaging, peripheral blood smear, cell aggregation, rheology, phospholipids, nutrient encapsulation, multinutrient complex.

2021 ◽  
pp. jclinpath-2021-207863
Author(s):  
Lisa N van der Vorm ◽  
Henriët A Hendriks ◽  
Simone M Smits

AimsRecently, a new automated digital cell imaging analyser (Sysmex CellaVision DC-1), intended for use in low-volume and small satellite laboratories, has become available. The purpose of this study was to compare the performance of the DC-1 with the Sysmex DI-60 system and the gold standard, manual microscopy.MethodsWhite blood cell (WBC) differential counts in 100 normal and 100 abnormal peripheral blood smears were compared between the DC-1, the DI-60 and manual microscopy to establish accuracy, within-run imprecision, clinical sensitivity and specificity. Moreover, the agreement between precharacterisation and postcharacterisation of red blood cell (RBC) morphological abnormalities was determined for the DC-1.ResultsWBC preclassification and postclassification results of the DC-1 showed good correlation compared with DI-60 results and manual microscopy. In addition, the within-run SD of the DC-1 was below 1 for all five major WBC classes, indicating good reproducibility. Clinical sensitivity and specificity were, respectively, 96.7%/95.9% compared with the DI-60% and 96.6%/95.3% compared with manual microscopy. The overall agreement on RBC morphology between the precharacterisation and postcharacterisation results ranged from 49% (poikilocytosis) to 100% (hypochromasia, microcytosis and macrocytosis).ConclusionsThe DC-1 has proven to be an accurate digital cell imaging system for differential counting and morphological classification of WBCs and RBCs in peripheral blood smears. It is a compact and easily operated instrument that can offer low-volume and small satellite laboratories the possibilities of readily available blood cell analysis that can be stored and retrieved for consultation with remote locations.


2021 ◽  
Author(s):  
Colin L Cooke ◽  
Kanghyum Kim ◽  
Shiqi Xu ◽  
Amey Chaware ◽  
Xing Yao ◽  
...  

A wide variety of diseases are commonly diagnosed via the visual examination of cell morphology within a peripheral blood smear. For certain diseases, such as COVID-19, morphological impact across the multitude of blood cell types is still poorly understood. In this paper, we present a multiple instance learning-based approach to aggregate high-resolution morphological information across many blood cells and cell types to automatically diagnose disease at a per-patient level. We integrated image and diagnostic information from across 236 patients to demonstrate not only that there is a significant link between blood and a patient's COVID-19 infection status, but also that novel machine learning approaches offer a powerful and scalable means to analyze peripheral blood smears. Our results both backup and enhance hematological findings relating blood cell morphology to COVID-19, and offer a high diagnostic efficacy; with a 79% accuracy and a ROC-AUC of 0.90.


Author(s):  
Reini Meilani Isbach ◽  
Agus Alim Abdullah ◽  
Mansyur Arif

Hairy cell leukaemia (HCL) is a neoplastic disorder of B lymphocytes originally described by Bouroncle et al. in 1958. HCL clinicalmanifestations varies, generally characterized by various degrees of splenomegaly, pancytopenia, or emphasis only on the two cell lines(bisitopenia), with the hairy cells in varying amounts in the peripheral blood smear and bone marrow. HCL is a very rare case, there areonly about 2% of all leukaemias more frequently in men than women (4:1) with the average age of disease onset between 50–55 years.The etiology of HCL is still not known. A case of HCL Leukaemia in a female patient, aged 55 years is reported which was a rare case.HCL diagnosis in this patient was based on the clinical manifestation (splenomegaly), and laboratory results (bisitopenia, neutropeniaand monositopenia) and about 80% hairy cells were found in peripheral blood smears. Definite diagnosis of HCL should be made by bonemarrow examination, immunophenotyping and cytogenesis.


2017 ◽  
Vol 5 (5) ◽  
pp. 221-231
Author(s):  
Muhamed Katica ◽  
Nedzad Gradascevic

The laboratory rat, as important biomedical model, was often fed with unconventional diet usually made up of products from the bakery industry. Such diet consisted of insufficient caloric and nutritionally unbalanced meals could cause unreliable results in biomedical research. The study investigates the effects of malnutrition on the haematological profile of rats. The study is performed on Wistar male and female rats which were fed for 4 weeks exclusively with bakery products ad libidum. The following hematological parameters were observed in peripheral blood smears: red blood cell count, content of haemoglobin, haematocrit, MCV, MCH, MCHC, white blood cell count, differential blood count, diameter of red blood cells, as well as the presence of atypical forms of red blood cells. Despite there were no statistically significant differences in overall haematological results (p > 0.05, with > 0.05), the significant part of obtained results were below physiological limits (HGB, MCHC and MCH). Other haematological parameters, including white blood corpuscles were kept in physiological limits, except for mild neutrophils in males. Also, the forms of anulocytes and spherocytes were recorded in peripheral blood smears. The results indicated the beginning of normocytic hypochromic anaemia which was caused by unbalanced meals.


2020 ◽  
Vol 10 (2) ◽  
pp. 1722-1727
Author(s):  
Rakesh Pathak ◽  
Sujata Pudasaini ◽  
Sushmita Ghimire ◽  
Anil Singh Basnyat ◽  
Anuj KC

Background: Anemia is a nutritional problem worldwide with an increased risk of morbidity and mortality in all age groups. Macrocytic anemia often originates from abnormalities that impair the erythroid precursor maturation in the bone marrow. Since the clinical manifestations of different types of anemias are similar, hematological parameters including hemoglobin, Red blood cell indices, and Peripheral Blood Smear examination are useful in the diagnosis of anemia. Materials and Methods: This was a cross-sectional study done in the Department of Pathology at Nepal Medical College Teaching hospital. A total of 42 patients between 14 to 62 years with low Hb concentration according to the World Health Organization criteria for anemia were selected and a mean cell volume > 100 fL was taken for study. Peripheral blood smear examination, Red blood cell indices, Vitamin B12, and Folic acid level were evaluated. Results: There were 42 patients with macrocytic anemia enrolled in the study with a mean age of 31.85±12.49 years and with female preponderance. Hemoglobin level was slightly low in males compared to females. Red blood cell indices were slightly higher in males. The difference of serum Vit B12 and Folic acid in male and female was found to be significant. Conclusions: It was concluded that for the diagnosis of a specific type of anemia, hemoglobin, Red blood cell indices, reticulocytes percent, and PBS examination were important parameters. Serum Folic acid and Vitamin B12 level estimation along with other hematological parameters are important for the diagnosis of macrocytic anemia and its correlation


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Yapin Wang ◽  
Yiping Cao

The leukocyte nucleus quick segmentation is one of the key techniques in leukocyte real-time online scanning of human blood smear. We propose a quick leukocyte nucleus segmentation method based on the component difference in RGB color space. By analyzing the captured microscopic images of the peripheral blood smears from the autoscanning microscope, it is found that the difference values between B component and G component (B−G values) in the regions of the leukocyte nuclei and the platelets are much bigger than those in the other regions, even in the regions including the stains. So, the B−G values can segment the leukocyte nuclei and the platelets with an appropriate empirical threshold because the platelets are much smaller than the leukocyte nuclei, so the leukocyte nuclei can be segmented by size filtering. Also, only an 8 bit subtraction operation is performed for the B−G values, and it can improve the leukocyte nucleus segmentation speed significantly. Experimental results show that the proposed method performs well for the five types of leukocyte segmentation with a quick speed. It is very suitable for the real-time peripheral blood smear autoscanning test application. In addition, the five types of leukocytes can be counted accurately.


2012 ◽  
Vol 136 (6) ◽  
pp. 660-667 ◽  
Author(s):  
Hongbo Yu ◽  
Chi Young Ok ◽  
Adam Hesse ◽  
Peter Nordell ◽  
Diane Connor ◽  
...  

Context.—Several automated digital imaging systems have been introduced in recent years to improve turnaround time and proficiency in examining peripheral blood smears in hematology laboratories. Objective.—To evaluate a new automated digital imaging system, Nextslide Digital Review Network (Nextslide), for examination of peripheral blood smears. Design.—We evaluated 479 peripheral blood smears, of which 247 (51.6%) were included for comparison of Nextslide and manual white blood cell differential counts and morphology evaluation, 204 (42.6%) were included for comparison of Nextslide and CellaVision (DM96) differential counts, and 28 (5.8%) were neonatal samples examined for enumeration of nucleated red blood cells. Results.—Results from both method comparisons showed excellent correlation for all major white blood cell classes with correlation coefficients ranging from 0.70 to 0.99. Evaluation of white blood cell, red blood cell, and platelet morphology also showed good correlation among methods. White blood cell preclassification capability in the system was evaluated for rate and accuracy. Leukopenic samples demonstrated markedly decreased review time with Nextslide. Enumeration of nucleated red blood cells showed good correlation among methods. Conclusions.—Our evaluation of Nextslide shows excellent correlation when compared with conventional manual differentials and CellaVision (DM96) differentials for evaluation of peripheral blood smears.


2014 ◽  
Vol 53 (1) ◽  
pp. 167-171 ◽  
Author(s):  
Lori D. Racsa ◽  
Rita M. Gander ◽  
Paul M. Southern ◽  
Erin McElvania TeKippe ◽  
Christopher Doern ◽  
...  

Conventional microscopy is the gold standard for malaria diagnosis. The CellaVision DM96 is a digital hematology analyzer that utilizes neural networks to locate, digitize, and preclassify leukocytes and characterize red blood cell morphology. This study compared the detection rates ofPlasmodiumandBabesiaspecies on peripheral blood smears utilizing the CellaVision DM96 with the rates for a routine red blood cell morphology scan. A total of 281 slides were analyzed, consisting of 130 slides positive forPlasmodiumorBabesiaspecies and 151 negative controls. Slides were blinded, randomized, and analyzed by CellaVision and microscopy for red cell morphology scans. The technologists were blinded to prior identification results. The parasite detection rate was 73% (95/130) for CellaVision and 81% (105/130) for microscopy for positive samples. The interobserver agreement between CellaVision and microscopy was fair, as Cohen's kappa coefficient equaled 0.36. Pathologist review of CellaVision images identified an additional 15 slides with parasites, bringing the total number of detectable positive slides to 110 of 130 (85%).Plasmodium ovalehad the lowest rate of detection at 56% (5 of 9);Plasmodium malariaeandBabesiaspp. had the highest rate of detection at 100% (3/3 and 6/6, respectively). The detection rate by CellaVision was 100% (23/23) when the parasitemia was ≥2.5%. The detection rate for <0.1% parasitemia was 63% (15/24). Technologists appropriately classified all negative specimens. The percentage of positive specimens detectable by CellaVision (73%) approaches results for microscopy on routine scan of peripheral blood smears for red blood cell morphology.


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