ArticleMolecular imaging
Signal to Noise Ratio as a Cross-Platform Metric for Intraoperative Fluorescence Imaging.
Article in Molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Intraoperative Molecular Imaging in Thoracic Oncology: Expanding the Observable Disease Space.Cancers · 2026Review
- Real-time fidelity assessment of fluorescence molecular imaging without reference images.Journal of biomedical optics · 2026Article
- A Novel Fluorescence-Triggered Auditory Feedback Photosensor for Precision Lymph Node Mapping.Sensors (Basel, Switzerland) · 2026Article
- Machine Learning-Guided Detection of Malignancy of Lung Nodules With Molecular Imaging-Guided Surgery.JAMA network open · 2026Article
- Automated Covalent Microcontact Bioprinting of Lubricant-Infused Microarrays for Biological Assays.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Optical Investigation of DNA Behaviour in Flow using Confocal Detection Incorporated with Fluorescence Correlation Spectroscopy (FCS).Journal of fluorescence · 2025Article
- Acousto-optogenetics bandpass stabilizer: A programmable platform for mapping single-cell phenotypic life trajectories.Materials today. Bio · 2025Article
- Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter.Biomedical optics express · 2024Article
- Towards A Wireless Image Sensor for Real-Time Fluorescence Microscopy in Cancer Therapy.bioRxiv : the preprint server for biology · 2023Article
- 3D Reconstruction of cellular images from microfabricated imagers using fully-adaptive deep neural networks.Scientific reports · 2022Article
- Live-cell fluorescence spectral imaging as a data science challenge.Biophysical reviews · 2022Review
- Receptor-Targeted Fluorescence-Guided Surgery With Low Molecular Weight Agents.Frontiers in oncology · 2021Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Real-time molecular imaging to guide curative cancer surgeries is critical to ensure removal of all tumor cells; however, visualization of microscopic tumor foci remains challenging. Wide variation in both imager instrumentation and molecular labeling agents demands a common metric conveying the ability of a system to identify tumor cells. Microscopic disease, comprised of a small number of tumor cells, has a signal on par with the background, making the use of signal (or tumor) to background ratio inapplicable in this critical regime. Therefore, a metric that incorporates the ability to subtract out background, evaluating the signal itself relative to the sources of uncertainty, or noise is required. Here we introduce the signal to noise ratio (SNR) to characterize the ultimate sensitivity of an imaging system and optimize factors such as pixel size. Variation in the background (noise) is due to electronic sources, optical sources, and spatial sources (heterogeneity in tumor marker expression, fluorophore binding, and diffusion). Here, we investigate the impact of these noise sources and ways to limit its effect on SNR. We use empirical tumor and noise measurements to procedurally generate tumor images and run a Monte Carlo simulation of microscopic disease imaging to optimize parameters such as pixel size.
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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.