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Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor.

Authors :
O'Shaughnessy EC
Stone OJ
LaFosse PK
Azoitei ML
Tsygankov D
Heddleston JM
Legant WR
Wittchen ES
Burridge K
Elston TC
Betzig E
Chew TL
Adalsteinsson D
Hahn KM
Source :
The Journal of cell biology [J Cell Biol] 2019 Sep 02; Vol. 218 (9), pp. 3153-3160. Date of Electronic Publication: 2019 Aug 23.
Publication Year :
2019

Abstract

Lattice light-sheet microscopy (LLSM) is valuable for its combination of reduced photobleaching and outstanding spatiotemporal resolution in 3D. Using LLSM to image biosensors in living cells could provide unprecedented visualization of rapid, localized changes in protein conformation or posttranslational modification. However, computational manipulations required for biosensor imaging with LLSM are challenging for many software packages. The calculations require processing large amounts of data even for simple changes such as reorientation of cell renderings or testing the effects of user-selectable settings, and lattice imaging poses unique challenges in thresholding and ratio imaging. We describe here a new software package, named ImageTank, that is specifically designed for practical imaging of biosensors using LLSM. To demonstrate its capabilities, we use a new biosensor to study the rapid 3D dynamics of the small GTPase Rap1 in vesicles and cell protrusions.<br /> (© 2019 O'Shaughnessy et al.)

Details

Language :
English
ISSN :
1540-8140
Volume :
218
Issue :
9
Database :
MEDLINE
Journal :
The Journal of cell biology
Publication Type :
Academic Journal
Accession number :
31444239
Full Text :
https://doi.org/10.1083/jcb.201903019