High-content flow cytometric screening (FC-HCS) is a 21st Century technology that combines robotic fluid handling, flow cytometric instrumentation, and bioinformatics software, so that relatively large numbers of flow cytometric samples can be processed and analysed in a short period of time. We revisit a recent application of FC-HCS to the problem of cellular signature definition for acute graft-versus-host-disease. Our focus is on automation of the data processing steps using recent advances in statistical methodology. We demonstrate that effective results, on par with those obtained via manual processing, can be achieved using our automatic techniques. Such automation of FC-HCS has the potential to drastically improve diagnosis and bioma...
Flow cytometry (FC) is a single-cell profiling platform for measuring the phenotypes (protein expres...
Flow Cytometry (FCM) is widely used to investigate and diagnose human disease. Although high-through...
International audienceRecent advances in miniaturization and automation of technologies have enabled...
Flow cytometry (FCM) is a technology that allows the rapid quantification of physical and chemical p...
Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recen...
Image based high content analysis (HCA) and high content screens (HCS) are powerful tools used predo...
Automated flow cytometry (FC) data analysis tools for cell population identification and characteris...
Supplementary Information Files for Current trends in flow cytometry automated data analysis softwar...
Enumeration and characterization of circulating tumor cells (CTC) is an emerging tool for the diseas...
Flow cytometry, a powerful tool for the diagnosis of hematolymphoid malignancies including B-cell ly...
In spite of recent advances in flow cytometry technology, most cytometry data is still analyzed manu...
Flow cytometry (FC) provides high-content data for a variety of applications, including phenotypic a...
Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recen...
Flow cytometry is widely used for single cell interrogation of surface and intracellular protein exp...
Background: As a high-throughput technology that offers rapid quantification of mul...
Flow cytometry (FC) is a single-cell profiling platform for measuring the phenotypes (protein expres...
Flow Cytometry (FCM) is widely used to investigate and diagnose human disease. Although high-through...
International audienceRecent advances in miniaturization and automation of technologies have enabled...
Flow cytometry (FCM) is a technology that allows the rapid quantification of physical and chemical p...
Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recen...
Image based high content analysis (HCA) and high content screens (HCS) are powerful tools used predo...
Automated flow cytometry (FC) data analysis tools for cell population identification and characteris...
Supplementary Information Files for Current trends in flow cytometry automated data analysis softwar...
Enumeration and characterization of circulating tumor cells (CTC) is an emerging tool for the diseas...
Flow cytometry, a powerful tool for the diagnosis of hematolymphoid malignancies including B-cell ly...
In spite of recent advances in flow cytometry technology, most cytometry data is still analyzed manu...
Flow cytometry (FC) provides high-content data for a variety of applications, including phenotypic a...
Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recen...
Flow cytometry is widely used for single cell interrogation of surface and intracellular protein exp...
Background: As a high-throughput technology that offers rapid quantification of mul...
Flow cytometry (FC) is a single-cell profiling platform for measuring the phenotypes (protein expres...
Flow Cytometry (FCM) is widely used to investigate and diagnose human disease. Although high-through...
International audienceRecent advances in miniaturization and automation of technologies have enabled...