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Cytometry Part A
CYTOMETRY PART A - The Official journal of isac

In This Issue

September 2019 | Volume 95A | Issue 9

OMIP‐058: 30‐Parameter Flow Cytometry Panel to Characterize iNKT, NK, Unconventional and Conventional T Cells

by Thomas Liechti & Mario Roederer
The adaptive immune system is unique in its ability to cope with the high structural diversity of pathogens. This is achieved through the expression of highly diverse T cell (TCR) and B cell receptors but comes with the cost of low frequencies of clonotypic T and B cells necessitating substantial proliferation upon antigen encounter to provide sufficient numbers of epitope-specific T or B cells. This expansion phase can take several days and requires...

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

by Caicedo et al.
Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluation metrics for nucleus segmentation do not satisfactorily capture error modes that are relevant in cellular images. We present an evaluation framework to...

Automated Flow Cytometric MRD Assessment in Childhood Acute B‐ Lymphoblastic Leukemia Using Supervised Machine Learning

by Reiter et al.
Minimal residual disease (MRD) as measured by multiparameter flow cytometry (FCM) is an independent and strong prognostic factor in B‐cell acute lymphoblastic leukemia (B‐ALL). However, reliable flow cytometric detection of MRD strongly depends on operator skills and expert knowledge. Hence, an objective, automated tool for reliable FCM‐MRD quantification, able to overcome the technical diversity and analytical subjectivity, would be most helpful. We developed a supervised machine learning approach using...



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Submit by September 30, 2019 to the Special Issue on Genomic Cytometry guest edited by Robert Salomon, David Gallego-Ortega, and Christopher Hall.

/resource/resmgr/images/publications/slide1.jpg Read the Issue

There was long time ago a saying by someone whose name I cannot recall at the moment: “Trust is good but control is better” (Or in other words: Доверие это хорошо. Контроль лучше). This is particularly true for quantitative science and I have...

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