ArticleBiomedical optics express2019
Epi-mode tomographic quantitative phase imaging in thick scattering samples.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
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- Scattering-enabled epi-quantitative phase imaging reveals subcellular detail in organoids and deep mouse brains.bioRxiv : the preprint server for biology · 2026Article
- Long-wavelength oblique back-illumination microscopy for deepBiomedical optics express · 2026Article
- Back-illumination interference tomography for imaging weak scattering in thick tissues.Optica · 2025Article
- Automated vertical wheel bioreactor integrated with process analytics for T-cell manufacturing.Cytotherapy · 2025Article
- Label-free in-line characterization of immune cell culture using quantitative phase imaging.NPJ Regenerative medicine · 2025Article
- Compact DUV reflective Fourier ptychographic microscopy for high-throughput surface measurements.Optics letters · 2025Article
- Ultrasensitive in vivo infrared spectroscopic imaging via oblique photothermal microscopy.Nature communications · 2025Article
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- Experimental assessment of the optical transfer function for quantitative oblique back illumination microscopy (qOBM).Optics express · 2025Article
- Acetic acid enabled nuclear contrast enhancement in epi-mode quantitative phase imaging.Journal of biomedical optics · 2025Article
- Quantitative phase imaging endoscopy with a metalens.Light, science & applications · 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
- GAN-based quantitative oblique back-illumination microscopy enables computationally efficient epi-mode refractive index tomography.Biomedical optics express · 2024Article
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Quantitative phase imaging by gradient retardance optical microscopy.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Quantitative phase imaging (QPI) is an important tool in biomedicine that allows for the microscopic investigation of live cells and other thin, transparent samples. Importantly, this technology yields access to the cellular and sub-cellular structure and activity at nanometer scales without labels or dyes. Despite this unparalleled ability, QPI's restriction to relatively thin samples severely hinders its versatility and overall utility in biomedicine. Here we overcome this significant limitation of QPI to enable the same rich level of quantitative detail in thick scattering samples. We achieve this by first illuminating the sample in an epi-mode configuration and using multiple scattering within the sample-a hindrance to conventional transmission imaging used in QPI-as a source of transmissive illumination from within. Second, we quantify phase via deconvolution by modeling the transfer function of the system based on the ensemble average angular distribution of light illuminating the sample at the focal plane. This technique packages the quantitative, real-time sub-cellular imaging capabilities of QPI into a flexible configuration, opening the door for truly non-invasive, label-free, tomographic quantitative phase imaging of unaltered thick, scattering specimens. Images of controlled scattering phantoms, blood in collection bags, cerebral organoids and freshly excised whole mouse brains are presented to validate the approach.
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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.