AIMC Topic: Flow Cytometry

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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence.

Journal of visualized experiments : JoVE Jan 27, 2023
The micronucleus (MN) assay is used worldwide by regulatory bodies to evaluate chemicals for genetic toxicity. The assay can be performed in two ways: by scoring MN in once-divided, cytokinesis-blocked binucleated cells or fully divided mononucleated...
Automation Micronucleus Tests Microscopy Flow Cytometry Artificial Intelligence
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DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence.

Cell reports. Medicine Jan 19, 2023
Medical artificial intelligence (AI) has been moving from the research phase to clinical implementation. However, most AI-based models are mainly built using high-quality images preprocessed in the laboratory, which is not representative of real-worl...
Area Under Curve Flow Cytometry ROC Curve Artificial Intelligence
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Deep-learning FRET visualization in flow cytometry: At the cross road of the signaling and FRET pathways.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 26, 2022
Neural Networks, Computer Fluorescence Resonance Energy Transfer Deep Learning Machine Learning Flow Cytometry
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Research on cell detection method for microfluidic single cell dispensing.

Mathematical biosciences and engineering : MBE Dec 14, 2022
Single cell dispensing techniques mainly include limiting dilution, fluorescent-activated cell sorting (FACS) and microfluidic approaches. Limiting dilution process is complicated by statistical analysis of clonally derived cell lines. Flow cytometry...
Neural Networks, Computer Algorithms Cell Separation Microfluidics Flow Cytometry
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High-content video flow cytometry with digital cell filtering for label-free cell classification by machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Nov 4, 2022
Recent development of imaging flow cytometry (IFC) has enabled the measurements of single cells with high throughput, where fluorescent labels provide specificity for cellular diagnosis. The fluorescent labels may disturb the cell functions, and the ...
HeLa Cells Cell Differentiation Coloring Agents Flow Cytometry Humans Machine Learning
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Toward five-part differential of leukocytes based on electrical impedances of single cells and neural network.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Oct 21, 2022
The five-part differential of leukocytes plays key roles in the diagnosis of a variety of diseases and is realized by optical examinations of single cells, which is prone to various artifacts due to chemical treatments. The classification of leukocyt...
Electric Impedance Neural Networks, Computer Leukocytes Flow Cytometry
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Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry.

Lab on a chip Sep 13, 2022
Label-free image identification of circulating rare cells, such as circulating tumor cells within peripheral blood nucleated cells (PBNCs), the vast majority of which are white blood cells (WBCs), remains challenging. We previously described developi...
Artificial Intelligence Humans Image Cytometry Flow Cytometry Neoplastic Cells, Circulating Leukocytes
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Combining imaging flow cytometry and machine learning for high-throughput schistocyte quantification: A SVM classifier development and external validation cohort.

EBioMedicine Aug 17, 2022
BACKGROUND: Schistocyte counts are a cornerstone of the diagnosis of thrombotic microangiopathy syndrome (TMA). Their manual quantification is complex and alternative automated methods suffer from pitfalls that limit their use. We report a method com...
Erythrocytes, Abnormal Support Vector Machine Flow Cytometry Machine Learning Humans Artificial Intelligence
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Simple Detection of Unstained Live Senescent Cells with Imaging Flow Cytometry.

Cells Aug 12, 2022
Cellular senescence is a hallmark of aging and a promising target for therapeutic approaches. The identification of senescent cells requires multiple biomarkers and complex experimental procedures, resulting in increased variability and reduced sensi...
Biomarkers Aging Humans Cellular Senescence Artificial Intelligence Flow Cytometry
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Intelligent sort-timing prediction for image-activated cell sorting.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jun 29, 2022
Intelligent image-activated cell sorting (iIACS) has enabled high-throughput image-based sorting of single cells with artificial intelligence (AI) algorithms. This AI-on-a-chip technology combines fluorescence microscopy, AI-based image processing, s...
Flow Cytometry Machine Learning Artificial Intelligence Cell Separation Algorithms
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