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Enabling Interactive Measurements from Large Coverage Microscopy

Published

Author(s)

Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Mary C. Brady, Joe Chalfoun, Michael P. Majurski

Abstract

Microscopy could be an important tool for characterizing stem cell products if quantitative measurements could be collected over multiple spatial and temporal scales. With the cells changing states over time and being several orders of magnitude smaller than cell products, modern microscopes are already capable of imaging large spatial areas, repeat imaging over time, and acquiring images over several spectra. However, characterizing stem cell products from such large image collections is challenging because of data size, required computations, and lack of interactive quantitative measurements needed to determine release criteria. We present a measurement web system consisting of available algorithms, extensions to a client-server framework using Deep Zoom, and the configuration know-how to provide the information needed for inspecting the quality of a cell product. The cell and other data sets are accessible via the prototype web-based system at http://isg.nist.gov/deepzoomweb.
Citation
Computer (IEEE Computer)
Volume
49
Issue
7

Keywords

Computing Practices, Big Image Data, Visualization Analytics for Big Data

Citation

Bajcsy, P. , Vandecreme, A. , Amelot, J. , Brady, M. , Chalfoun, J. and Majurski, M. (2016), Enabling Interactive Measurements from Large Coverage Microscopy, Computer (IEEE Computer), [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915467 (Accessed December 7, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created July 1, 2016, Updated March 17, 2017