ArticleOptics letters2020
Macroscopic fluorescence lifetime topography enhanced via spatial frequency domain imaging.
Article in Optics letters, 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
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Who cites it
23 citing papers in PubMed, 29 citations in OpenAlex.
- Neural Network-Based Depth Retrieval of Fluorescent Targets From Wide-Field Fluorescence Intensity Images in Scattering Tissues.Journal of biophotonics · 2026Article
- Time-of-flight fluorescence depth mapping using a spatiotemporal deep learning model.Journal of biomedical optics · 2026Article
- Deep learning-enabled fluorescence imaging for oral cancer margin classification in preclinical models.Journal of biomedical optics · 2025Article
- Isolating subsurface fluorescence in macroscopic lifetime imaging via high-spatial-frequency structured illumination.JPhys photonics · 2025Article
- Depth-Resolved Macroscopic Fluorescence Lifetime Imaging via High-Spatial-Frequency Structured Illumination.bioRxiv : the preprint server for biology · 2025Article
- Design and characterization of an optical phantom for mesoscopic multimodal fluorescence lifetime imaging and optical coherence elastography.Biomedical optics express · 2025Article
- Deep learning-enabled fluorescence imaging for surgical guidance:Journal of biomedical optics · 2025Article
- Real-time wide-field fluorescence lifetime imaging via single-snapshot acquisition for biomedical applications.PhotoniX · 2025Article
- Deep learning-based temporal deconvolution for photon time-of-flight distribution retrieval.Optics letters · 2024Article
- Fluorescence lifetime imaging with distance and ranging using a miniaturised SPAD system.Scientific reports · 2024Article
- Combined fluorescence lifetime and surface topographical imaging of biological tissue.Biomedical optics express · 2024Article
- Subsurface fluorescence time-of-flight imaging using a large-format single-photon avalanche diode sensor for tumor depth assessment.Journal of biomedical optics · 2024Article
- Assessment of open-field fluorescence guided surgery systems: implementing a standardized method for characterization and comparison.Journal of biomedical optics · 2023Article
- Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions.Biomedical optics express · 2023Article
- Computational macroscopic lifetime imaging and concentration unmixing of autofluorescence.Journal of biophotonics · 2022Article
- Quantitative tumor depth determination using dual wavelength excitation fluorescence.Biomedical optics express · 2022Article
- Algorithms and instrumentation for rapid spatial frequency domain fluorescence diffuse optical imaging.Journal of biomedical optics · 2022Article
- Article
- Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications.Journal of biomedical optics · 2022Article
- 3D k-space reflectance fluorescence tomography via deep learning.Optics letters · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
We report on a macroscopic fluorescence lifetime imaging (MFLI) topography computational framework based around machine learning with the main goal of retrieving the depth of fluorescent inclusions deeply seated in bio-tissues. This approach leverages the depth-resolved information inherent to time-resolved fluorescence data sets coupled with the retrieval of in situ optical properties as obtained via spatial frequency domain imaging (SFDI). Specifically, a Siamese network architecture is proposed with optical properties (OPs) and time-resolved fluorescence decays as input followed by simultaneous retrieval of lifetime maps and depth profiles. We validate our approach using comprehensive in silico data sets as well as with a phantom experiment. Overall, our results demonstrate that our approach can retrieve the depth of fluorescence inclusions, especially when coupled with optical properties estimation, with high accuracy. We expect the presented computational approach to find great utility in applications such as optical-guided surgery.
Identifiers
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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.