Estimating real cell size distribution from cross-section microscopy imaging | Zendy

Michael Lenz | Zendy; Nadia Roumans | Zendy; Roel Vink | Zendy; Marleen A. van Baak | Zendy; Edwin C.M. Mariman | Zendy; Ilja C.W. Arts | Zendy; Theo M. de Kok | Zendy; Gökhan Ertaylan | Zendy

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Estimating real cell size distribution from cross-section microscopy imaging

Author(s) -

Michael Lenz,

Nadia Roumans,

Roel Vink,

Marleen A. van Baak,

Edwin C.M. Mariman,

Ilja C.W. Arts,

Theo M. de Kok,

Gökhan Ertaylan

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw431

Subject(s) - sample size determination , cell size , pipeline (software) , microscopy , distribution (mathematics) , source code , microscope , computer science , sampling (signal processing) , sample (material) , biological system , biomedical engineering , pathology , statistics , mathematics , biology , chemistry , computer vision , medicine , mathematical analysis , filter (signal processing) , chromatography , programming language , microbiology and biotechnology , operating system

Microscopy imaging is an essential tool for medical diagnosis and molecular biology. It is particularly useful for extracting information about disease states, tissue heterogeneity and cell specific parameters such as cell type or cell size from biological specimens. However, the information obtained from the images is likely to be subjected to sampling and observational bias with respect to the underlying cell size/type distributions.

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