ArticleBiomedical optics express2022
Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning.Journal of biophotonics · 2026Article
- Cell context-dependent in silico organelle localization in label-free microscopy images.Nature methods · 2026Article
- Virtual staining of label-free tissue in imaging mass spectrometry.Science advances · 2025Article
- Artificial Intelligence for Organelle Segmentation in Live-Cell Imaging.Research (Washington, D.C.) · 2025Review
- Fluorescence microscopy and correlative brightfield videos of mitochondria and vesicles in H9c2 cardiomyoblasts.Scientific data · 2024Article
- Organelle-specific phase contrast microscopy (OS-PCM) enables facile correlation study of organelles and proteins.Biomedical optics express · 2024Article
- Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning.Biomedical optics express · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Mitochondria play a crucial role in cellular metabolism. This paper presents a novel method to visualize mitochondria in living cells without the use of fluorescent markers. We propose a physics-guided deep learning approach for obtaining virtually labeled micrographs of mitochondria from bright-field images. We integrate a microscope's point spread function in the learning of an adversarial neural network for improving virtual labeling. We show results (average Pearson correlation 0.86) significantly better than what was achieved by state-of-the-art (0.71) for virtual labeling of mitochondria. We also provide new insights into the virtual labeling problem and suggest additional metrics for quality assessment. The results show that our virtual labeling approach is a powerful way of segmenting and tracking individual mitochondria in bright-field images, results previously achievable only for fluorescently labeled mitochondria.
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Registered trials
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