AIMC Topic: Erythrocytes
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Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.
PloS one
Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Purification of viable peripheral blood mononuclear cells for biobanking using a robotized liquid handling workstation.
Journal of translational medicine
Nov 12, 2019
BACKGROUND: The purification of peripheral blood mononuclear cells (PBMCs) by means of density gradient (1.07 g/mL) centrifugation is one of the most commonly used methods in diagnostics and research laboratories as well as in biobanks. Here, we eval...
In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.
Journal of medicinal chemistry
Jul 8, 2019
Hemolytic toxicity of small molecules, as one of the important ADMET end points, can cause the lysis of erythrocytes membrane and leaking of hemoglobin into the blood plasma, which leads to various side effects. Thus, it is very crucial to assess the...
Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.
Journal of clinical pathology
Apr 16, 2019
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...
Prediction of Hemolytic Toxicity for Saponins by Machine-Learning Methods.
Chemical research in toxicology
Apr 9, 2019
Saponins are a type of compounds bearing a hydrophobic steroid/triterpenoid moiety and hydrophilic carbohydrate branches. The majority of the saponins demonstrate a broad range of prominent pharmacological activities. Nevertheless, many saponins also...
Exploring the phenolic profile, antioxidant, antidiabetic and anti-hemolytic potential of Prunus avium vegetal parts.
Food research international (Ottawa, Ont.)
Sep 2, 2018
The aim of the present work was to evaluate the phenolic profile of leaves, stems and flowers of P. avium and their biological potential. For this purpose, two extracts of each matrix (hydroethanolic and infusion) were prepared. A total of twenty-six...
Antibacterial activity and its mechanisms of a recombinant Funme peptide against Cronobacter sakazakii in powdered infant formula.
Food research international (Ottawa, Ont.)
Aug 13, 2018
Cronobacter sakazakii (Cs) is a typical foodborne bacterium that infect powdered infant formula (PIF) worldwide. In this study, a recombinant antimicrobial peptide, branded as Funme peptide (FP)was applied to protect PIF from Cs contamination. The re...
Microbial Sensitivity Tests
Bacteria
Food Contamination
Food Microbiology
Humans
Erythrocytes
Infant Formula
Antimicrobial Cationic Peptides
Anti-Bacterial Agents
Food Handling
Ampicillin
Biological Control Agents
Infant
Amino Acid Sequence
Cell Membrane Permeability
Biofilms
Powders
Cronobacter sakazakii
Cell-Like Micromotors.
Accounts of chemical research
Aug 3, 2018
In the past decade, versatile micro- and nanosized machines have emerged as active agents for large-scale detoxification, sensing, microfabrication, and many other promising applications. Micromachines have also been envisioned as the next advancemen...
Catechin rich butanol fraction extracted from Acacia catechu L. (a thirst quencher) exhibits immunostimulatory potential.
Journal of food and drug analysis
Jul 2, 2018
Acacia catechu L., (Fabaceae) named as "catechu" is a plant, the decoction of heartwood of which is daily consumed as thirst quencher by a good percentage of the population in South India. The plant is mainly distributed in India and other Asian coun...
Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells.
Journal of biophotonics
May 11, 2018
Accurate and immediate diagnosis of malaria is important for medication of the infectious disease. Conventional methods for diagnosing malaria are time consuming and rely on the skill of experts. Therefore, an automatic and simple diagnostic modality...
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