Literature DB >> 21604324

Acquisition speed comparison of microscope software programs.

Oliver Biehlmaier1, Joachim Hehl, Gabor Csucs.   

Abstract

Reliable software is a prerequisite for successful operation of a modern wide field fluorescence microscope. When used for live cell imaging, acquisition speed is of particular interest. This is both because biological processes can be highly-dynamic, and to avoid unnecessary photobleaching and phototoxicity of living samples. This article shows that besides the hardware (microscope) components themselves, the acquisition control software is an important influencing factor of speed performance. We tested and compared the speed performance of five different generic applications (Image-Pro Plus, MetaMorph, Micro-Manager, SlideBook, and Volocity) using typical experimental setups involving a single specific state-of-the-art fluorescence microscope configuration. The test measurements included multichannel experiments, z-stacking, burst acquisition, as well as combinations of these measurements with time-lapse acquisitions. The measured data provided values for guiding the testing and analysis of other microscope systems with similar configurations. Despite the identical hardware settings, significant and surprisingly large speed differences were evident among the various software applications. Additionally, no application was identifiable as the fastest in all tests. Our work pinpoints the importance of the control software in determining a system's "real" maximal imaging speed. The study could serve as basis for further tests, eventually influencing the system selection criteria for speed-sensitive applications.
Copyright © 2010 Wiley-Liss, Inc.

Mesh:

Year:  2010        PMID: 21604324     DOI: 10.1002/jemt.20944

Source DB:  PubMed          Journal:  Microsc Res Tech        ISSN: 1059-910X            Impact factor:   2.769


  2 in total

1.  Quantitative analysis of random migration of cells using time-lapse video microscopy.

Authors:  Prachi Jain; Rebecca A Worthylake; Suresh K Alahari
Journal:  J Vis Exp       Date:  2012-05-13       Impact factor: 1.355

2.  Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals.

Authors:  Joshua Deal; Andrea Britain; Thomas Rich; Silas Leavesley
Journal:  J Vis Exp       Date:  2019-08-22       Impact factor: 1.355

  2 in total

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