Analysis of smart imaging runtime
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42649_2025_Article_115.pdf
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3.31 MB
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Author(s)
Athey, Thomas
Sawmya, Shashata
Meirovitch, Yaron
Schalek, Richard
Potocek, Pavel
Chandok, Ishaan
Peemen, Maurice
Lichtman, Jeff
Samuel, Aravinthan
Shavit, Nir
Date Issued
August 14, 2025
Journal
Applied Microscopy
Publisher
Springer Nature Singapore
Citation
Athey, T., Sawmya, S., Meirovitch, Y. et al. Analysis of smart imaging runtime. Appl. Microsc. 55, 10 (2025).
Version
Final published version
Abstract
Smart microscopy is a new imaging approach that involves rapid imaging, prediction of important subregions, then selective re-imaging. This approach has been validated in reducing imaging beam time in electron microscopy connectomics, but the speedup depends on various imaging workflow parameters. Here we present the first runtime analysis of traditional vs. smart microscopy and show how these parameters can magnify, or diminish potential time savings. We provide a GUI application that calculates the theoretical time savings of smart microscopy from user input parameters describing their imaging workflow. Finally, we measure end-to-end runtime of SmartEM acquisition on an electron microscope to demonstrate two strategies for faster acquisition: mixed-precision neural networks and parallelization of microscope and support computer operations.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1186/s42649-025-00115-5
