ArticleBiomedical optics express2020
Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- TRIDENT: inTRaoperative Imaging DEvice based on endogeNous opTical properties to evaluate bowel oxygenation in left-sided colorectal resections. Observational first-in-human pilot safety trial.Surgical endoscopy · 2026Article
- Real-Time Structural Illumination with Hyperspectral Images: A Tunable Projection-Capture Synchronizer for Three-Phase Demodulation on Embedded Heterogeneous Computing Platforms.Sensors (Basel, Switzerland) · 2026Article
- Simulation-Driven Spatial Frequency Domain Imaging and Deep Learning for Subsurface Fruit Bruise Discrimination.Foods (Basel, Switzerland) · 2026Article
- Deep-learning-enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology.Journal of biomedical optics · 2025Article
- Quantification of hemi-hepatic ischemia using real-time multispectral oxygenation imaging with single snapshot imaging of optical properties (SSOP).Surgical endoscopy · 2025Article
- Speckle-illumination spatial frequency domain imaging with a stereo laparoscope for profile-corrected optical property mapping.Journal of biomedical optics · 2025Article
- High-Precision Chromatic Confocal Technologies: A Review.Micromachines · 2024Review
- Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy.Journal of biomedical optics · 2024Article
- Relevance and utility of theBiomedical optics express · 2023Review
- Designing and simulating realistic spatial frequency domain imaging systems using open-source 3D rendering software.Biomedical optics express · 2023Article
- Quantification of bowel ischaemia using real-time multispectral Single Snapshot Imaging of Optical Properties (SSOP).Surgical endoscopy · 2023Article
- Measurement of tissue optical properties in a wide spectral range: a review [Invited].Biomedical optics express · 2023Review
- Training generative adversarial networks for optical property mapping using synthetic image data.Biomedical optics express · 2022Article
- Multi-laboratory performance assessment of diffuse optics instruments: the BitMap exercise.Journal of biomedical optics · 2022Article
- 3D k-space reflectance fluorescence tomography via deep learning.Optics letters · 2022Article
- Deep learning in optical metrology: a review.Light, science & applications · 2022Review
- Deep learning in macroscopic diffuse optical imaging.Journal of biomedical optics · 2022Review
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- Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.Journal of biomedical optics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The development of real-time, wide-field and quantitative diffuse optical imaging methods to visualize functional and structural biomarkers of living tissues is a pressing need for numerous clinical applications including image-guided surgery. In this context, Spatial Frequency Domain Imaging (SFDI) is an attractive method allowing for the fast estimation of optical properties using the Single Snapshot of Optical Properties (SSOP) approach. Herein, we present a novel implementation of SSOP based on a combination of deep learning network at the filtering stage and Graphics Processing Units (GPU) capable of simultaneous high visual quality image reconstruction, surface profile correction and accurate optical property (OP) extraction in real-time across large fields of view. In the most optimal implementation, the presented methodology demonstrates megapixel profile-corrected OP imaging with results comparable to that of profile-corrected SFDI, with a processing time of 18 ms and errors relative to SFDI method less than 10% in both profilometry and profile-corrected OPs. This novel processing framework lays the foundation for real-time multispectral quantitative diffuse optical imaging for surgical guidance and healthcare applications. All code and data used for this work is publicly available at www.healthphotonics.org under the resources tab.
Identifiers
What OpenQuestion holds
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.