2010
DOI: 10.1002/0471142727.mb1420s92
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Computer Control of Microscopes Using µManager

Abstract: 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. Mo… Show more

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Cited by 1,641 publications
(1,457 citation statements)
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“…Image data were recorded using either Solis image capture software (Andor) or µManager microscopy software 35 . Algorithms for image processing were implemented in Python 2.7.…”
Section: Deep-imaging With Two-photon Excitation (Tpe)mentioning
confidence: 99%
“…Image data were recorded using either Solis image capture software (Andor) or µManager microscopy software 35 . Algorithms for image processing were implemented in Python 2.7.…”
Section: Deep-imaging With Two-photon Excitation (Tpe)mentioning
confidence: 99%
“…Microscopy of artificial liposomes and living E. coli cells was performed within 5 min after NaCl addition using a Nikon Eclipse Ti inverted epifluorescence microscope equipped with a CoolLED PrecisExcite light source and a Nikon 60x oil immersion objective providing a total magnification of 600-fold. Filters used for fluorescence imaging of FM1-43 were 470 ± 40 nm (excitation) and 525 ± 50 nm (emission), respectively, and exposure time was set to 2.5 s. Image acquisition and basic analysis (brightness and contrast optimization, image sharpening) were performed using µManager 52 and ImageJ 53 , respectively. For the liposome experiment, detection and classification of particles larger than 100 pixels was performed using Matlab.…”
Section: Metabolomicsmentioning
confidence: 99%
“…All lenses used (apart from the objective) are made from UV fused silica to optimise UV transmission and the optical fibers are UV grade (OceanOptics). The camera is controlled using the opensource software Manager 1.4 22 .…”
Section: Optical Setupmentioning
confidence: 99%