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Using Expansion Microscopy to Physically Enlarge Whole-Mount Drosophila Embryos for Super-Resolution Imaging
Published on: April 28, 2023
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HiExM: high-throughput expansion microscopy enables scalable super-resolution imaging
John H Day1, Catherine Marin Della Santina1, Pema Maretich2
1Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 USA.
Biorxiv : the Preprint Server for Biology
|February 17, 2023
Summary
High-throughput Expansion Microscopy (HiExM) enables scalable nanoscale imaging of cells in 96-well plates. This method improves detection of cellular phenotypes, such as drug-induced DNA changes in cardiomyocytes.
Area of Science:
- Cell Biology
- Microscopy Techniques
- Biotechnology
Background:
- Expansion microscopy (ExM) allows nanoscale imaging with standard microscopes by expanding fixed samples.
- Current ExM methods are limited in throughput, restricting simultaneous sample processing.
Purpose of the Study:
- To develop a high-throughput platform for expansion microscopy (HiExM).
- To enable scalable nanoscale imaging of cells in standard 96-well plates.
- To improve the ease and scalability of image acquisition for ExM.
Main Methods:
- Developed High-throughput Expansion Microscopy (HiExM) for cells in 96-well plates.
- Achieved approximately 4.2x isotropic expansion of cells within wells and across plates.
- Integrated HiExM with high-throughput confocal imaging platforms.
Main Results:
- Demonstrated successful expansion and imaging of cells in a 96-well plate format.
- Showed improved detection of doxorubicin's dose-dependent effects on cardiomyocyte nuclear DNA compared to unexpanded samples.
- Validated HiExM's scalability and robustness for biological research.
Conclusions:
- HiExM significantly enhances the throughput of expansion microscopy.
- The platform enables scalable super-resolution imaging for drug screening and cellular phenotype analysis.
- HiExM broadens the application of ExM in biological research by improving scalability and ease of use.
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