AIMC Topic: Cell Separation
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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 ...
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...
Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry.
Lab on a chip
Apr 16, 2024
Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patients. Rare circulating tumor cells (CTCs) and rarer circulating tumor cell clusters (CTCCs) are potential biomarkers of metastatic growth, with CTCCs r...
COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning.
Communications biology
Sep 22, 2023
Cells are the singular building blocks of life, and a comprehensive understanding of morphology, among other properties, is crucial to the assessment of underlying heterogeneity. We developed Computational Sorting and Mapping of Single Cells (COSMOS)...
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...
Oral epithelial cell segmentation from fluorescent multichannel cytology images using deep learning.
Computer methods and programs in biomedicine
Oct 27, 2022
BACKGROUND AND OBJECTIVES: Cytology is a proven, minimally-invasive cancer screening and surveillance strategy. Given the high incidence of oral cancer globally, there is a need to develop a point-of-care, automated, cytology-based screening tool. Or...
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...
Fast and precise single-cell data analysis using a hierarchical autoencoder.
Nature communications
Feb 15, 2021
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical ...
A microfluidic robot for rare cell sorting based on machine vision identification and multi-step sorting strategy.
Talanta
Jan 23, 2021
The identification, sorting and analysis of rare target single cells in human blood has always been a clinically meaningful medical challenge. Here, we developed a microfluidic robot platform for sorting specific rare cells from complex clinical bloo...
Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.
Communications biology
Dec 4, 2020
Biomedical research often involves conducting experiments on model organisms in the anticipation that the biology learnt will transfer to humans. Previous comparative studies of mouse and human tissues were limited by the use of bulk-cell material. H...
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