Challenges facing quantitative large-scale optical super-resolution, and some simple solutions
2021 | journal article; overview. A publication with affiliation to the University of Göttingen.
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- Authors
- Dankovich, Tal M.; Rizzoli, Silvio O.
- Abstract
- Optical super-resolution microscopy (SRM) has enabled biologists to visualize cellular structures with near-molecular resolution, giving unprecedented access to details about the amounts, sizes, and spatial distributions of macromolecules in the cell. Precisely quantifying these molecular details requires large datasets of high-quality, reproducible SRM images. In this review, we discuss the unique set of challenges facing quantitative SRM, giving particular attention to the shortcomings of conventional specimen preparation techniques and the necessity for optimal labeling of molecular targets. We further discuss the obstacles to scaling SRM methods, such as lengthy image acquisition and complex SRM data analysis. For each of these challenges, we review the recent advances in the field that circumvent these pitfalls and provide practical advice to biologists for optimizing SRM experiments.
- Issue Date
- 2021
- Journal
- iScience
- Project
- EXC 2067: Multiscale Bioimaging
SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente
SFB 1190 | P09: Proteinsortierung in der Synapse: Prinzipien und molekulare Organisation
SFB 1286: Quantitative Synaptologie
SFB 1286 | A03: Dynamische Analyse der Remodellierung der extrazellulären Matrix (ECM) als Mechanismus der Synapsenorganisation und Plastizität - Working Group
- RG Rizzoli (Quantitative Synaptology in Space and Time)
- ISSN
- 2589-0042
- Language
- English