Computer Control of Microscopes using μManager
By N. Stuurman, A. Edelstein, N. Amodaj, Karl Hoover, Ronald D. Vale. Current Protocols in Molecular Biology, 2010
1,669 citations recorded by the source corpus.
With the advent of digital cameras and motorization of mechanical components, computer control of microscopes has become increasingly important. Software for microscope image acquisition should not only be easy to use, but also enable and encourage novel approaches. The open‐source software package µManager aims to fulfill those goals. This unit provides step‐by‐step protocols describing how to get started working with µManager, as well as some starting points for advanced use of the software. Curr. Protoc. Mol. Biol. 92:14.20.1‐14.20.17. © 2010 by John Wiley & Sons, Inc.
Subfields: Biophysics
View Paper: https://www.semanticscholar.org/paper/197ce1768ce3ff5a21cc72809be465907f876e27
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In Biophysics
Citations in the corpus
- Advanced methods of microscope control using μManager software. (2014, methodology): “The routine use of μManager is extensively documented, both on the μManager website and in a previous publication [3].”
- A protein tagging system for signal amplification in gene expression and fluorescence imaging (2014, methodology): “Imaging and Quantitation Cells were grown in 96-well glass bottom dishes and were imaged on an inverted Nikon TI spinning disk confocal microscope with the Nikon Perfect Focus system, 1003 1.45 NA objective, an Andor EM-CCD camera, and Micro-Manager software (Edelstein et al., 2010).”
- A single pair of neurons links sleep to memory consolidation in Drosophila melanogaster (2015, methodology): “Frames were captured at 2 Hz with 4× binning for either 2 min or 4 min using µManager acquisition software (Edelstein et al., 2010).”
- A BaSiC tool for background and shading correction of optical microscopy images (2017, methodology): “The microscope was controlled by m Manager 15 .”