ArticleNature photonics2019
High-resolution, high-contrast mid-infrared imaging of fresh biological samples with ultraviolet-localized photoacoustic microscopy.
Article in Nature photonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.
What it found
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Who cites it
94 citing papers in PubMed.
- Advanced methods of wearable ultrasound and photoacoustic imaging devices: A review.Photoacoustics · 2026Article
- Real-time photoacoustic imaging with freehand light delivery and augmented reality guidance.Photoacoustics · 2026Article
- Intraoperative measurement of breast-conserving surgery margins: surgical application.Breast cancer research : BCR · 2026Review
- Multifocal Optical-Resolution Photoacoustic Microscopy With a Masked Single-Element Transducer.IEEE transactions on medical imaging · 2026Article
- Revealing hidden tissue architecture with mid-infrared dichroism photoacoustic microscopy.Light, science & applications · 2026Article
- Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Photoacoustic imaging: An emerging tool for intraoperative margin assessment in breast-conserving surgery.Photoacoustics · 2026Review
- Label-free mid-infrared dichroism-sensitive photoacoustic microscopy for histostructural analysis of engineered heart tissues.Light, science & applications · 2026Article
- Multi-spectral optoacoustic microscopy driven by gas-filled hollow-core fiber laser pulses.Biomedical optics express · 2025Article
- A comprehensive review of high-performance photoacoustic microscopy systems.Photoacoustics · 2025Review
- Label-Free 3D Photoacoustic Imaging of Tumor Organoids for Volumetric Drug Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recent advancements in molecular photoacoustic tomography.JPhys photonics · 2025Review
- Advanced vibrational microscopes for life science.Nature methods · 2025Review
- Illuminating life processes by vibrational probes.Nature methods · 2025Review
- Deep tissue sensing of chiral molecules using polarization-enhanced photoacoustics.Science advances · 2025Article
- Wide-Field High-Speed Scanning Acoustic/Photoacoustic Microscopy for Whole-Body Imaging of Small Animals.Biosensors · 2025Article
- A primer on current status and future opportunities of clinical optoacoustic imaging.Npj imaging · 2025Review
- Article
- Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.Nature communications · 2024Article
- INSPIRE: Single-beam probed complementary vibrational bioimaging.Science advances · 2024Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Mid-infrared (MIR) microscopy provides rich chemical and structural information about biological samples, without staining. Conventionally, the long MIR wavelength severely limits the lateral resolution owing to optical diffraction; moreover, the strong MIR absorption of water ubiquitous in fresh biological samples results in high background and low contrast. To overcome these limitations, we propose a method that employs photoacoustic detection highly localized with a pulsed ultraviolet (UV) laser on the basis of the Grüneisen relaxation effect. For cultured cells, our method achieves water-background suppressed MIR imaging of lipids and proteins at UV resolution, at least an order of magnitude finer than the MIR diffraction limits. Label-free histology using this method is also demonstrated in thick brain slices. Our approach provides convenient high-resolution and high-contrast MIR imaging, which can benefit diagnosis of fresh biological samples.
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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.