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Flow Cytometry

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Acute psychological stress-induced progenitor cell mobilization and cardiovascular events.

Journal of psychosomatic research
OBJECTIVE: Certain brain activation responses to psychological stress are associated with worse outcomes in CVD patients. We hypothesized that elevated acute psychological stress, manifesting as greater activity within neural centers for emotional re...

Automated and reproducible cell identification in mass cytometry using neural networks.

Briefings in bioinformatics
The principal use of mass cytometry is to identify distinct cell types and changes in their composition, phenotype and function in different samples and conditions. Combining data from different studies has the potential to increase the power of thes...

Analysis of cortical cell polarity by imaging flow cytometry.

Journal of cellular biochemistry
Metastasis is the main cause of cancer-related death and therapies specifically targeting metastasis are highly needed. Cortical cell polarity (CCP) is a prometastatic property of circulating tumor cells affecting their ability to exit blood vessels ...

Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology.

Biosensors
Accurate and efficient classification and quantification of CD34+ cells are essential for the diagnosis and monitoring of leukemia. Current methods, such as flow cytometry, are complex, time-consuming, and require specialized expertise and equipment....

Advance of microfluidic flow cytometry enabling high-throughput characterization of single-cell electrical and structural properties.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
This paper reported a micro flow cytometer capable of high-throughput characterization of single-cell electrical and structural features based on constrictional microchannels and deep neural networks. When single cells traveled through microchannels ...

What are the most relevant publications in Clinical Microbiology in the last two years?

Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia
This minireview describes some of the articles published in the last two years related to innovative technologies including CRISPR-Cas, surface-enhanced Raman spectroscopy, microfluidics, flow cytometry, Fourier transform infrared spectroscopy, and a...

Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry.

Scientific reports
A primary challenge of high-throughput imaging flow cytometry (IFC) is to analyze the vast amount of imaging data, especially in applications where ground truth labels are unavailable or hard to obtain. We present an unsupervised deep embedding algor...

CyGate Provides a Robust Solution for Automatic Gating of Single Cell Cytometry Data.

Analytical chemistry
To gain a better understanding of the complex human immune system, it is necessary to measure and interpret numerous cellular protein expressions at the single cell level. Mass cytometry is a relatively new technology that offers unprecedented inform...

Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
The current flow cytometric analysis of blood and bone marrow samples for diagnosis of acute myeloid leukemia (AML) relies heavily on manual intervention in the processing and analysis steps, introducing significant subjectivity into resulting diagno...

Leukocyte differential based on an imaging and impedance flow cytometry of microfluidics coupled with deep neural networks.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
The differential of leukocytes functions as the first indicator in clinical examinations. However, microscopic examinations suffered from key limitations of low throughputs in classifying leukocytes while commercially available hematology analyzers f...