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mmSIM: an open toolbox for accessible structured illumination microscopy.
- Source :
-
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2021 Jun 14; Vol. 379 (2199), pp. 20200353. Date of Electronic Publication: 2021 Apr 26. - Publication Year :
- 2021
-
Abstract
- Since the first practical super-resolution structured illumination fluorescence microscopes (SIM) were demonstrated more than two decades ago, the method has become increasingly popular for a wide range of bioimaging applications. The high cost and relative inflexibility of commercial systems, coupled with the conceptual simplicity of the approach and the desire to exploit and customize existing hardware, have led to the development of a large number of home-built systems. Several detailed hardware designs are available in the scientific literature, complemented by open-source software tools for SIM image validation and reconstruction. However, there remains a lack of simple open-source software to control these systems and manage the synchronization between hardware components, which is critical for effective SIM imaging. This article describes a new suite of software tools based on the popular Micro-Manager package, which enable the keen microscopist to develop and run a SIM system. We use the software to control two custom-built, high-speed, spatial light modulator-based SIM systems, evaluating their performance by imaging a range of fluorescent samples. By simplifying the process of SIM hardware development, we aim to support wider adoption of the technique. This article is part of the Theo Murphy meeting issue 'Super-resolution structured illumination microscopy (part 1)'.
- Subjects :
- A549 Cells
Animals
Calibration
Humans
Image Processing, Computer-Assisted methods
Image Processing, Computer-Assisted statistics & numerical data
Light
Microscopy, Fluorescence instrumentation
Mitochondria ultrastructure
Nanoparticles ultrastructure
Optical Devices
Optical Phenomena
Microscopy, Fluorescence methods
Microscopy, Fluorescence statistics & numerical data
Software
Subjects
Details
- Language :
- English
- ISSN :
- 1471-2962
- Volume :
- 379
- Issue :
- 2199
- Database :
- MEDLINE
- Journal :
- Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
- Publication Type :
- Academic Journal
- Accession number :
- 33896202
- Full Text :
- https://doi.org/10.1098/rsta.2020.0353