Published March 29, 2024
| Version v1
Journal article
Open
Projective light-sheet microscopy with flexible parameter selection
Creators
- 1. University of Texas Southwestern Medical Center
- 2. University of Chicago
Description
Projection imaging accelerates volumetric interrogation in fluorescence microscopy, but for multi-cellular samples, the resulting images may lack contrast, as many structures and haze are summed up. Here, we demonstrate rapid projective light-sheet imaging with parameter selection (props) of imaging depth, position and viewing angle. This allows us to selectively image different sub-volumes of a sample, rapidly switch between them and exclude background fluorescence. Here we demonstrate the power of props by functional imaging within distinct regions of the zebrafish brain, monitoring calcium firing inside muscle cells of moving Drosophila larvae, super-resolution imaging of selected cell layers, and by optically unwrapping the curved surface of a Drosophila embryo. We anticipate that props will accelerate volumetric interrogation, ranging from subcellular to mesoscopic scales.
Data availability
The image and movie data generated in this study have been deposited in a public Zenodo repository: https://zenodo.org/records/10182659 Source data are provided with this paper.
The Matlab and Python codes used for data analysis are available in a public GitHub repository. The LabView-based control software used within this manuscript to control the OPM and LLSM systems is freely available for nonprofit institutions through a Material Transfer Agreement with UT Southwestern Medical Center.
Files
Projective-light-sheet-microscopy-with-flexible-parameter-selection.pdf
Files
(128.3 MB)
Additional details
Identifiers
- DOI
- 10.1038/s41467-024-46693-y
- Other
- oai:uchicago.tind.io:11466
Funding
- National Institutes of Health
- R35GM133522
- National Institutes of Health
- R35GM127091
- National Institutes of Health
- R01AR075005
- National Institutes of Health
- R01AR053173
- National Institutes of Health
- R35GM136316
- National Institutes of Health
- 1R01GM134207
- National Institutes of Health
- 1R21HD105189
- Robert A Welch Foundation
- I-1950-20180324