# Subcellular Resolution Light Sheet Microscope with a Large Field of View

> **NIH NIH F31** · UNIVERSITY OF GEORGIA · 2020 · $39,826

## Abstract

PROJECT SUMMARY
The ability to capture large regions of the neural network in living model organisms such as zebrafish and fruit
flies at a subcellular scale will further advance neurological research. In this project, we aim to provide a
microscopy platform that is able to capture images of a 286 to 300 micron area of the nervous system in living
zebrafish and fruit files at subcellular resolution. We plan to combine super-resolution techniques with light
sheet fluorescence microscopy to accomplish this goal.
Aim 1 combines super-resolution structured illumination microscopy (SR-SIM) with multi-direction
illumination light sheet fluorescence microscopy in a single objective configuration. We expect that the system
should be able to achieve a resolution of 161nm in all lateral directions, and axial resolution of 458nm and 916nm
in 3D SR-SIM mode and 2D SR-SIM mode, respectively. We expect that the proposed method will provide a
highly detailed image of the entire midbrain structure and activity in 6 to 7 week post-fertilization zebrafish
larvae. Aim 2 will achieve isotropic resolution at subcellular level (241nm lateral, 336nm axial) while maintaining
a 286 to 300 micron field of view. We expect that the proposed method will result in the capability to image
dynamics of postsynaptic filopodia across multiple muscle groups over a long period of time (longer than 1 hour).
Aim 3 will develop a novel computer reconstruction algorithm to boost the effective frame rate and alleviate the
artifacts in the resulting image. In the final result, we expect to see a 20% decrease in artifacts and an increase
in speed by a factor of 3.

## Key facts

- **NIH application ID:** 10025178
- **Project number:** 5F31NS115496-02
- **Recipient organization:** UNIVERSITY OF GEORGIA
- **Principal Investigator:** Yang Liu
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $39,826
- **Award type:** 5
- **Project period:** 2019-09-23 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10025178

## Citation

> US National Institutes of Health, RePORTER application 10025178, Subcellular Resolution Light Sheet Microscope with a Large Field of View (5F31NS115496-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10025178. Licensed CC0.

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