AIMC Topic: Flow Cytometry

Clear Filters Showing 11 to 20 of 194 articles

Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Scientific reports Mar 5, 2025
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...
Middle Aged Deep Learning Adolescent Adult Male Erythrocytes Cold Temperature Blood Preservation Flow Cytometry Blood Donors Female Age Factors Humans Young Adult
View on PubMed DOI

Predicting cell properties with AI from 3D imaging flow cytometer data.

Scientific reports Feb 17, 2025
Predicting the properties of tissues or organisms from the genomics data is widely accepted by the medical community. Here we ask a question: can we predict the properties of each individual cell? Single-cell genomics does not work because the RNA se...
Single-Cell Analysis Imaging, Three-Dimensional Flow Cytometry Humans Artificial Intelligence
View on PubMed DOI

Neuromorphic-enabled video-activated cell sorting.

Nature communications Dec 30, 2024
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition. However, existing IACS frameworks suffer from the challenges of 3D information loss and processing ...
Humans Neural Networks, Computer Video Recording Erythrocytes Flow Cytometry Cell Separation
View on PubMed DOI

An integrated microflow cytometry platform with artificial intelligence capabilities for point-of-care cellular phenotype analysis.

Biosensors & bioelectronics Dec 23, 2024
The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyping and enumeration using artificial intelligence (AI). The platform consists of a laser diode, optical filter, objective lens, CMOS image sensor, and...
Equipment Design Artificial Intelligence Flow Cytometry Phenotype Biosensing Techniques Lab-On-A-Chip Devices Jurkat Cells Humans Point-of-Care Systems
View on PubMed DOI

Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.

British journal of haematology Dec 3, 2024
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtypi...
CD5 Antigens Lymphoma, Mantle-Cell Leukemia, Hairy Cell Neprilysin Lymphoma, Follicular Waldenstrom Macroglobulinemia Humans Flow Cytometry Bone Marrow Immunohistochemistry Lymphoma, B-Cell High-Throughput Nucleotide Sequencing Leukemia, Lymphocytic, Chronic, B-Cell East Asian People Machine Learning Mutation Retrospective Studies
View on PubMed DOI

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...
Humans Jurkat Cells Deep Learning Microfluidics Flow Cytometry Cell Separation HeLa Cells
View on PubMed DOI

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...
Elasticity Viscosity Single-Cell Analysis Humans Flow Cytometry Neural Networks, Computer Electric Impedance
View on PubMed DOI

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 ...
Flow Cytometry Spermatozoa Andrology Animals Male Artificial Intelligence
View on PubMed DOI

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...
Immunophenotyping Humans Software Cluster Analysis Machine Learning Flow Cytometry
View on PubMed DOI

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...
Erythrocytes Humans Image Cytometry Artificial Intelligence Flow Cytometry Phagocytosis
View on PubMed DOI
Popular Topics
Recent Journals