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Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction

Chek Ounkomol, Daniel A. Fernandes, Sharmishtaa Seshamani, Mary M. Maleckar, Forrest Collman, Gregory R. Johnson
doi: https://doi.org/10.1101/216606
Chek Ounkomol
1Allen Institute for Cell Science, 615 Westlake Ave N, Seattle, WA 98109
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Daniel A. Fernandes
2Allen Institute for Brain Science, 615 Westlake Ave N, Seattle, WA 98109.
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Sharmishtaa Seshamani
2Allen Institute for Brain Science, 615 Westlake Ave N, Seattle, WA 98109.
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Mary M. Maleckar
1Allen Institute for Cell Science, 615 Westlake Ave N, Seattle, WA 98109
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Forrest Collman
2Allen Institute for Brain Science, 615 Westlake Ave N, Seattle, WA 98109.
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Gregory R. Johnson
1Allen Institute for Cell Science, 615 Westlake Ave N, Seattle, WA 98109
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Abstract

Fluorescence microscopy has enabled imaging of key subcellular structures in living cells; however, the use of fluorescent dyes and proteins is often expensive, time-consuming, and damaging to cells. Here, we present a tool for the prediction of fluorescently labeled structures in live cells solely from 3D brightfield microscopy images. We show the utility of this approach in predicting several structures of interest from the same static 3D brightfield image, and show that the same tool can prospectively be used to predict the spatiotemporal position of these structures from a bright-field time series. This approach could also be useful in a variety of application areas, such as cross-modal image registration, quantification of live cell imaging, and determination of cell state changes.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 09, 2017.
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Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction
Chek Ounkomol, Daniel A. Fernandes, Sharmishtaa Seshamani, Mary M. Maleckar, Forrest Collman, Gregory R. Johnson
bioRxiv 216606; doi: https://doi.org/10.1101/216606
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Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction
Chek Ounkomol, Daniel A. Fernandes, Sharmishtaa Seshamani, Mary M. Maleckar, Forrest Collman, Gregory R. Johnson
bioRxiv 216606; doi: https://doi.org/10.1101/216606

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