Multicolor in situ hybridization (mFISH) is a karyotyping technique used to detect major chromosomal alterations using fluorescent probes and imaging techniques. Manual interpretation of mFISH images is a time consuming step that can be automated using machine learning; in previous works, pixel or patch wise classification was employed, overlooking spatial information which can help identify chromosomes. In this work, we propose a fully convolutional semantic segmentation network for the interpretation of mFISH images, which uses both spatial and spectral information to classify each pixel in an end-to-end fashion.
View Article and Find Full Text PDFUnited European Gastroenterol J
October 2017
Background: Diagnosis of celiac disease is difficult when the combined results of serology and histology are inconclusive. Studies using flow cytometry of intraepithelial lymphocytes (IELs) have found that celiac patients have increased numbers of γδ IELs, along with a decrease in CD3-CD103 + IELs.
Objective: The objective of this article is to assess the role of flow cytometric analysis of IELs in the diagnosis of celiac disease in difficult cases.
Immunol Allergy Clin North Am
May 2014
This article presents information for the identification and characterization of mast cells from bone marrow and other tissues using multiparametric flow cytometry. In addition, it provides guidelines for the application of this technique in the subclassification of systemic mastocytosis and assessment of the long-term prognosis of patients individually.
View Article and Find Full Text PDFAberrant expression of CD2 and/or CD25 by bone marrow, peripheral blood or other extracutaneous tissue mast cells is currently used as a minor World Health Organization diagnostic criterion for systemic mastocytosis. However, the diagnostic utility of CD2 versus CD25 expression by mast cells has not been prospectively evaluated in a large series of systemic mastocytosis. Here we evaluate the sensitivity and specificity of CD2 versus CD25 expression in the diagnosis of systemic mastocytosis.
View Article and Find Full Text PDFDiagnosis and classification of mastocytosis is currently based on the World Health Organization (WHO) criteria. Here, we evaluate the utility of the WHO criteria for the diagnosis and classification of a large series of mastocytosis patients (n=133), and propose a new algorithm that could be routinely applied for refined diagnosis and classification of the disease. Our results confirm the utility of the WHO criteria and provide evidence for the need of additional information for (1) a more precise diagnosis of mastocytosis, (2) specific identification of new forms of the disease, (3) the differential diagnosis between cutaneous mastocytosis vs systemic mastocytosis, and (4) improved distinction between indolent systemic mastocytosis and aggressive systemic mastocytosis.
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