ArticleThe journal of physical chemistry letters2020
High-Speed Chemical Imaging by Dense-Net Learning of Femtosecond Stimulated Raman Scattering.
Article in The journal of physical chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints.Angewandte Chemie (International ed. in English) · 2026Article
- AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation.Chemical & biomedical imaging · 2026Review
- Unlocking in vivo metabolic insights with vibrational microscopy.Nature methods · 2025Article
- Emerging trends in SERS-based veterinary drug detection: multifunctional substrates and intelligent data approaches.NPJ science of food · 2025Review
- Machine learning empowered coherent Raman imaging and analysis for biomedical applications.Communications engineering · 2025Review
- High-throughput single-cell sorting by stimulated Raman-activated cell ejection.Science advances · 2024Article
- Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Fast Real-Time Brain Tumor Detection Based on Stimulated Raman Histology and Self-Supervised Deep Learning Model.Journal of imaging informatics in medicine · 2024Article
- Optical Photothermal Infrared - Fluorescence In Situ Hybridization (OPTIR-FISH).Journal of visualized experiments : JoVE · 2024Article
- Multi-molecular hyperspectral PRM-SRS microscopy.Nature communications · 2024Article
- High-throughput single-cell sorting by stimulated Raman-activated cell ejection.bioRxiv : the preprint server for biology · 2023Article
- A weak-labelling and deep learning approach for in-focus object segmentation in 3D widefield microscopy.Scientific reports · 2023Article
- Simultaneous Dual-Band Hyperspectral Stimulated Raman Scattering Microscopy with Femtosecond Optical Parametric Oscillators.The journal of physical chemistry. B · 2023Article
- Visualization of a Limonene Synthesis Metabolon Inside Living Bacteria by Hyperspectral SRS Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Multiple Parallel Fusion Network for Predicting Protein Subcellular Localization from Stimulated Raman Scattering (SRS) Microscopy Images in Living Cells.International journal of molecular sciences · 2022Article
- Instant diagnosis of gastroscopic biopsy via deep-learned single-shot femtosecond stimulated Raman histology.Nature communications · 2022Article
- Densely Connected Neural Networks for Nonlinear Regression.Entropy (Basel, Switzerland) · 2022Article
- Quantitative Stimulated Raman Scattering Microscopy: Promises and Pitfalls.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022Review
- Dissecting lipid droplet biology with coherent Raman scattering microscopy.Journal of cell science · 2022Review
- Pixel-level multimodal fusion deep networks for predicting subcellular organelle localization from label-free live-cell imaging.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Hyperspectral stimulated Raman scattering (SRS) by spectral focusing can generate label-free chemical images through temporal scanning of chirped femtosecond pulses. Yet, pulse chirping decreases the pulse peak power and temporal scanning increases the acquisition time, resulting in a much slower imaging speed compared to single-frame SRS using femtosecond pulses. In this paper, we present a deep learning algorithm to solve the inverse problem of getting a chemically labeled image from a single-frame femtosecond SRS image. Our DenseNet-based learning method, termed as DeepChem, achieves high-speed chemical imaging with a large signal level. Speed is improved by 2 orders of magnitude with four subcellular components (lipid droplet, endoplasmic reticulum, nuclei, cytoplasm) classified in MIA PaCa-2 cells and other cell types which were not used for training. Lipid droplet dynamics and cellular response to dithiothreitol in live MIA PaCa-2 cells are demonstrated using this computationally multiplex method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.