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Related Experiment Video

Updated: Oct 10, 2025

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning.

YoungJu Jo^1,2,3,4, Hyungjoo Cho³, Wei Sun Park^1,2

¹Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Nature Cell Biology

|December 8, 2021

Summary

Researchers developed a deep learning method, refractive index to fluorescence (RI2FL), to image subcellular structures without fluorescent labels. This label-free approach enables multiplexed microtomography for advanced biological imaging and single-cell profiling.

Failed At:

2026-06-19T13:48:34.673680+00:00

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