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Data for "Neural space-time model for dynamic multi-shot imaging"

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/13204659
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Data for "Neural space-time model for dynamic multi-shot imaging" Link to preprint: https://www.biorxiv.org/content/10.1101/2024.01.16.575950 Code: https://github.com/rmcao/nstm   Raw images from structured illumination microscopy (SIM): beads.tif: a dense microbead sample with vibrating motion (Fig.2) mito.tif: a live RPE-1 cell expressing StayGold-tagged mitochondrial matrix protein (Fig.3) er.tif: a RPE-1 cell expressing StayGold-tagged endoplasmic reticulum (Fig.4) f-actin.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 (Extended Data Fig.6) f-actin_extradelay.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 with extra time delay between rotations (Extended Data Fig.6)   Baseline reconstruction: beads_fairSIM.tif: conventional reconstruction of the dense microbead sample using fairSIM software (https://www.fairsim.org) mito_cudasirecon.tif: conventional reconstruction for a mitochondria-labeled cell (mito.tif) using cuda-accelerated SIM reconstruction software (https://github.com/scopetools/cudasirecon) er_cudasirecon.tif: conventional reconstruction for an endoplasmic reticulum-labeled cell (er.tif) using cuda-accelerated SIM reconstruction software f-actin_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell (f-actin.tif) using cuda-accelerated SIM reconstruction software f-actin_extradelay_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell with extra delay (f-actin_extradelay.tif) using cuda-accelerated SIM reconstruction software
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2024-08-03
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