• Guide to Flow Cytometry🔍
• AI|based rare event detection harnesses the capabilities of ...🔍
• Cell Isolation🔍
• Flow vs. Spectral vs. Mass Cytometry🔍
• ACE|ing protein detection in single cells🔍
• Parse Biosciences🔍
• Sensitive and easy screening for circulating tumor cells by flow ...🔍
• [PDF] Sensitive detection of rare disease|associated cell subsets via ...🔍

Guide to Flow Cytometry | Antibodies Inc.

Flow cytometry is a commonly used technique to rapidly detect and measure the physical and molecular characteristics of single cells in solutions of mixed ...

AI-based rare event detection harnesses the capabilities of ...

The rare event detection workflow is based on the interaction of two components available on a STELLARIS confocal system. Often, overview scans ...

Cell Isolation | The Most Gentle Way - Molecular Machines

The fluorescence detection system identifies the fluorescent and light scatter properties of each cell. Based on these characteristics, a charge is applied to ...

Flow vs. Spectral vs. Mass Cytometry: What's the difference?

While flow cytometry can collect enough data to detect rare cells, the limited number of markers means it can't provide much information about ...

ACE-ing protein detection in single cells - Wyss Institute

The new method enabled them to quantitively detect rare proteins, investigate complex biological tissue changes, and study how entire networks ...

Parse Biosciences: Scalable Single Cell Sequencing

We detected rare cell types with Evercode's higher sensitivity. Yi Xie. Duke ... About Parse Contact us Upcoming Events Blog News Service Providers ...

Sensitive and easy screening for circulating tumor cells by flow ...

Flow cytometry (FC) is a fast, sensitive, and affordable technique, ideal for rare-cell detection. Adapted to CTC detection (i.e., extremely rare cells), most ...

[PDF] Sensitive detection of rare disease-associated cell subsets via ...

Using CellCnn, a representation learning approach to detect rare cell subsets associated with disease using high-dimensional single-cell measurements, ...

Flow Cytometry Data Preparation Guidelines for Improved ...

An analysis workflow was set up and tested for the detection of changes in reference bead subsets and in a rare subpopulation of murine lymph ...

Ten Top Tips for Flow Cytometry - Jackson ImmunoResearch

Where a flow cytometry experiment is designed to analyze rare cell types such as hematopoietic stem cells, circulating tumor cells, or antigen-specific T ...

An update of circulating rare cell types in healthy adult peripheral ...

Background: Circulating rare cells (CRCs) are benign or malignant minuscule events in the peripheral blood or other bodily fluids. The detection and ...

Multi-Parameter Flow Cytometry Technology Advances for Rare Cell ...

Besides representing a powerful diagnostic tool, detection of rare cell populations is also of value to fundamental research in disease ...

scSID: A lightweight algorithm for identifying rare cell types by ...

Identifying rare cell types is biologically important as one of the downstream data analyses of single-cell RNA sequencing. Although rare cell ...

Rare Cell Detection by Single-Cell RNA Sequencing as Guided by ...

sequencing data for detecting rare cell expression variability. We ... cell expression events. Poor transcriptome coverage leads to ...

High-throughput multiparametric imaging flow cytometry

ments and screening rare events at the sub-cellular level for a range of diagnostic applications. ... tics (Hasegawa et al., 2013), rare-cell ...

Ten Tips for Successful Flow Cytometry - BioTechniques

The high-throughput nature of flow cytometry enables millions of individual cells to be rapidly analyzed, permitting the detection of rare cell ...

Comprehensive Atlas of Circulating Rare Cells Detected by SE ...

Objective: Circulating rare cells (CRCs) are known as a crucial nucleated cellular response to pathological conditions, yet the landscape of cell types ...

Deep learning-enabled detection of rare circulating tumor cell ...

Confocal backscatter and fluorescence flow cytometry (BSFC) has been used for label-free detection of CTCCs in whole blood based on machine learning (ML) ...

DEPICT-seq: Single-Cell Transcriptomic Analysis of Rare Cell ...

Here, we present a nucleic acid cytometry analytical workflow that integrates cellular state preservation, target detection, and in-depth single ...

Fast rare event detection in biological samples with AI microscopy

Autonomous Microscopy powered by Aivia Artificial intelligence (AI) is on its way to becoming an integral part of life science research.