Flow Cytometry

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Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 5, 2024
Sorting specific cells from heterogeneous samples is important for research and clinical applications. In this work, a novel label-free cell sorting method is presented that integrates deep learning image recognition with microfluidic manipulation to...
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Jurkat Cells Cell Separation Deep Learning Flow Cytometry Microfluidics HeLa Cells Humans
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Neural Network-Enabled Multiparametric Impedance Signal Templating for High throughput Single-Cell Deformability Cytometry Under Viscoelastic Extensional Flows.

Small (Weinheim an der Bergstrasse, Germany) Oct 22, 2024
Cellular biophysical metrics exhibit systematic alterations during processes, such as metastasis and immune cell activation, which can be used to identify and separate live cell subpopulations for targeting drug screening. Image-based biophysical cyt...
Single-Cell Analysis Electric Impedance Flow Cytometry Elasticity Humans Neural Networks, Computer Viscosity
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Artificial intelligence in Andrological flow cytometry: The next step?

Animal reproduction science Oct 9, 2024
Since its introduction in animal andrology, flow cytometry (FC) has dramatically evolved. Nowadays, many compartments and functions of the spermatozoa can be analyzed in thousands of spermatozoa, including, but not limited to DNA, acrosome, membrane ...
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Artificial Intelligence Animals Spermatozoa Andrology Male Flow Cytometry
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Parameter optimization for stable clustering using FlowSOM: a case study from CyTOF.

Frontiers in immunology Oct 9, 2024
High-dimensional cell phenotyping is a powerful tool to study molecular and cellular changes in health and diseases. CyTOF enables high-dimensional cell phenotyping using tens of surface and intra-cellular markers. To utilize the full potential of Cy...
Cluster Analysis Machine Learning Immunophenotyping Humans Flow Cytometry Software
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Deep learning classification method for boar sperm morphology analysis.

Andrology Sep 17, 2024
BACKGROUND: Boar semen quality emphasizes three major criteria: sperm concentration, motility, and morphology. Methods to analyze concentration and motility quickly and objectively readily exist, but few exist for analyzing morphology outside of subj...
Deep Learning Flow Cytometry Male Swine Sperm Motility Acrosome Semen Analysis Spermatozoa Animals
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An AI-based imaging flow cytometry approach to study erythrophagocytosis.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Sep 9, 2024
Erythrophagocytosis is a process consisting of recognition, engulfment and digestion by phagocytes of antibody-coated or damaged erythrocytes. Understanding the dynamics that are behind erythrophagocytosis is fundamental to comprehend this cellular p...
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Image Cytometry Phagocytosis Humans Erythrocytes Artificial Intelligence Flow Cytometry
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Single-detector multiplex imaging flow cytometry for cancer cell classification with deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Aug 5, 2024
Imaging flow cytometry, which combines the advantages of flow cytometry and microscopy, has emerged as a powerful tool for cell analysis in various biomedical fields such as cancer detection. In this study, we develop multiplex imaging flow cytometry...
Humans Female Deep Learning Cell Line, Tumor Ovarian Neoplasms Image Cytometry Image Processing, Computer-Assisted Flow Cytometry
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Evaluation of artificial intelligence-assisted morphological analysis for platelet count estimation.

International journal of laboratory hematology Jul 20, 2024
INTRODUCTION: This study aims to assess the performance of the platelet count estimation using artificial intelligence technology on the MC-80 digital morphology analyzer.
Platelet Count Blood Platelets Artificial Intelligence Flow Cytometry Humans
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GateNet: A novel neural network architecture for automated flow cytometry gating.

Computers in biology and medicine Jul 12, 2024
BACKGROUND AND OBJECTIVE: Flow cytometry is a widely used technique for identifying cell populations in patient-derived fluids, such as peripheral blood (PB) or cerebrospinal fluid (CSF). Despite its ubiquity in research and clinical practice, the pr...
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Flow Cytometry Humans Neural Networks, Computer
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Machine learning assisted microfluidics dual fluorescence flow cytometry for detecting bladder tumor cells based on morphological characteristic parameters.

Analytica chimica acta Jun 22, 2024
BACKGROUND: Bladder cancer (BC) is the most common malignant tumor and has become a major public health problem, leading the causes of death worldwide. The detection of BC cells is of great significance for clinical diagnosis and disease treatment. U...
Cell Line, Tumor Urinary Bladder Neoplasms Machine Learning Fluorescence Flow Cytometry Humans
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