ArticleNature communications2017
Gradient light interference microscopy for 3D imaging of unlabeled specimens.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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Who cites it
96 citing papers in PubMed, 264 citations in OpenAlex.
- Inverse scattering in biological samples via beam propagation.Science advances · 2026Article
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- Label-free correlative morpho-chemical tomography of 3D kidney mesangial cells.Journal of biomedical optics · 2026Article
- Exploring the 3D architecture of brain tissue using digital holographic microscopy.Biomedical optics express · 2026Article
- Scattering-enabled epi-quantitative phase imaging reveals subcellular detail in organoids and deep mouse brains.bioRxiv : the preprint server for biology · 2026Article
- Back-illumination interference tomography for imaging weak scattering in thick tissues.Optica · 2025Article
- Emergent 2D van der Waals materials photonic sources.Nanophotonics (Berlin, Germany) · 2025Review
- Multi-modal transport of intensity diffraction tomography microscopy with an electrically tunable lens [Invited].Biomedical optics express · 2025Article
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- Coherent linking between confocal amplitude image and confocal phase image in dual-comb microscopy.Scientific reports · 2024Article
- Label-free live cell recognition and tracking for biological discoveries and translational applications.Npj imaging · 2024Review
- DMD and microlens array as a switchable module for illumination angle scanning in optical diffraction tomography.Biomedical optics express · 2024Article
- Novel imaging and biophysical approaches to study tissue hydraulics in mammalian folliculogenesis.Biophysical reviews · 2024Review
- Non-invasive label-free imaging analysis pipeline for in situ characterization of 3D brain organoids.Scientific reports · 2024Article
- Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution.Nature methods · 2024Article
- Inspiring a convergent engineering approach to measure and model the tissue microenvironment.Heliyon · 2024Review
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Label-free, high-throughput holographic imaging to evaluate mammalian gametes and embryos†.Biology of reproduction · 2024Review
- Vibrational imaging of metabolites for improved microbial cell strains.Journal of biomedical optics · 2024Review
36 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple scattering limits the contrast in optical imaging of thick specimens. Here, we present gradient light interference microscopy (GLIM) to extract three-dimensional information from both thin and thick unlabeled specimens. GLIM exploits a special case of low-coherence interferometry to extract phase information from the specimen, which in turn can be used to measure cell mass, volume, surface area, and their evolutions in time. Because it combines multiple intensity images that correspond to controlled phase shifts between two interfering waves, gradient light interference microscopy is capable of suppressing the incoherent background due to multiple scattering. GLIM can potentially become a valuable tool for in vitro fertilization, where contrast agents and fluorophores may impact the viability of the embryo. Since GLIM is implemented as an add-on module to an existing inverted microscope, we anticipate that it will be adopted rapidly by the biological community.Challenges in biological imaging include labeling, photobleaching and phototoxicity, as well as light scattering. Here, Nguyen et al. develop a quantitative phase method that uses low-coherence interferometry for label-free 3D imaging in scattering tissue.
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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.