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Image cytometry for 2D and 3D quantification in microscopic images (1050.5)
Author(s) -
Van Noorden Cornelis
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.1050.5
Subject(s) - software , cytometry , image analysis , computer science , calibration , scanner , digital imaging , data acquisition , digital image , instrumentation (computer programming) , computer vision , artificial intelligence , flow cytometry , image processing , image (mathematics) , mathematics , statistics , biology , genetics , programming language , operating system
Image cytometry is a powerful quantitative tool based on microscopy and digital imaging to obtain measurements in cells and tissues, either as stereological data (volumes, areas, lengths, profiles, etc.) or photometric data (absorbance, fluorescence and luminescence). Cytometry relies on careful calibration and control of acquisition of digital images that are evaluated with image analysis programs. The software used for cytometry may either take the form of general image analysis software or may be designed for a specific purpose. In either case, it has to be capable of assisting in the fundamental requirements of cytometry: calibration, interactivity, speed and sampling to obtain correct measurements. Stringent data acquisition and calculations are essential to obtain meaningful data. The major aim of the presentation is to provide simple but reliable procedures for valid image cytometry to obtain meaningful quantitative data from images of microscopic objects. Image cytometry instrumentation, software, validation and calibration and operation routines are discussed and protocols, hints and tips are presented. Grant Funding Source : None