ArticleJournal of biomedical optics2022
Near-infrared diffuse in vivo flow cytometry.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Engineering NIR Probes to Enhance Affinity and Clinical Workflow Compatibility for Prostate Cancer Imaging.Angewandte Chemie (International ed. in English) · 2026Article
- Machine learning approach for enumeration of circulating cells with diffuseBiophotonics discovery · 2026Article
- Machine Learning Approach for Enumeration of Circulating Cells with DiffusebioRxiv : the preprint server for biology · 2026Article
- Considerations for the use of targeted fluorescence contrast agents to detect circulating cancer cell populations with diffuseJournal of biomedical optics · 2026Article
- Engineering NIR probes to enhance affinity and clinical workflow compatibility for prostate cancer imaging.bioRxiv : the preprint server for biology · 2025Article
- Treatment of Acute Liver Injury through Selective Tropism ofACS nano · 2025Article
- In Vivo Labeling and Detection of Circulating Tumor Cells in Mice Using OTL38.Molecular imaging and biology · 2024Article
- Two-color diffuseJournal of biomedical optics · 2024Article
- Ratiometric fluorescence sensing and quantification of circulating blood sodium sensors in miceBiomedical optics express · 2023Article
- Article
- Dual-ratio approach for detection of point fluorophores in biological tissue.Journal of biomedical optics · 2023Article
- Current Strategies in Photodynamic Therapy (PDT) and Photodynamic Diagnostics (PDD) and the Future Potential of Nanotechnology in Cancer Treatment.Pharmaceutics · 2023Review
- Signal and measurement considerations for human translation of diffuse in vivo flow cytometry.Journal of biomedical optics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Significance: Diffuse Aim: We describe the design of a NIR-DiFC instrument and demonstrate its use in optical flow phantoms Approach: We developed an improved optical fiber probe design for efficient collection of fluorescence from individual circulating cells and efficient rejection of instrument autofluorescence. We built a NIR-DiFC instrument. We tested this with NIR fluorescent microspheres and cell lines labeled with OTL38 fluorescence contrast agent in a flow phantom model. We also tested NIR-DiFC in nude mice injected intravenously with OTL38-labeled L1210A cells. Results: NIR-DiFC allowed detection of circulating tumor cells (CTCs) in flow phantoms with mean signal-to-noise ratios (SNRs) of 19 to 32 dB. In mice, fluorescently labeled CTCs were detectable with mean SNR of 26 dB. NIR-DiFC also exhibited orders significantly lower autofluorescence and false-alarm rates than blue-green DiFC. Conclusions: NIR-DiFC allows use of emerging NIR contrast agents. Our work could pave the way for future use of NIR-DiFC in humans.
Indexed as
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.