ArticleCurrent molecular imaging
FLIM-FRET for Cancer Applications.
Article in Current molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- Cytosolic-enhanced dark Epac-based FRET sensors allow for intracellular cAMP detection in live cells via FLIM.FEBS letters · 2025Article
- Fluorescence Lifetime Imaging for Quantification of Targeted Drug Delivery in Varying Tumor Microenvironments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Fluorescence Lifetime Imaging for Quantification of Targeted Drug Delivery in Varying Tumor Microenvironments.bioRxiv : the preprint server for biology · 2024Article
- Probing organoid metabolism using fluorescence lifetime imaging microscopy (FLIM): The next frontier of drug discovery and disease understanding.Advanced drug delivery reviews · 2023Review
- In vivo quantitative FRET small animal imaging: Intensity versus lifetime-based FRET.Biophysical reports · 2023Article
- Article
- Design and characterization of a time-domain optical tomography platform for mesoscopic lifetime imaging.Biomedical optics express · 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
- High Resolution Fluorescence Lifetime Maps from Minimal Photon Counts.ACS photonics · 2022Article
- Deep learning in macroscopic diffuse optical imaging.Journal of biomedical optics · 2022Review
- Functional Characterization of an In-Frame Deletion in the Basic Domain of the Retinal Transcription Factor ATOH7.International journal of molecular sciences · 2022Article
- Macroscopic Fluorescence Lifetime Imaging for Monitoring of Drug-Target Engagement.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Raman Imaging and Fluorescence Lifetime Imaging Microscopy for Diagnosis of Cancer State and Metabolic Monitoring.Cancers · 2021Review
- Altered substrate metabolism in neurodegenerative disease: new insights from metabolic imaging.Journal of neuroinflammation · 2021Review
- Deep Learning in Biomedical Optics.Lasers in surgery and medicine · 2021Review
- Review
- FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.Nano-micro letters · 2021Review
- Luminescence lifetime imaging of three-dimensional biological objects.Journal of cell science · 2021Article
- Quantification of Trastuzumab-HER2 Engagement In Vitro and In Vivo.Molecules (Basel, Switzerland) · 2020Article
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
Optical imaging assays, especially fluorescence molecular assays, are minimally invasive if not completely noninvasive, and thus an ideal technique to be applied to live specimens. These fluorescence imaging assays are a powerful tool in biomedical sciences as they allow the study of a wide range of molecular and physiological events occurring in biological systems. Furthermore, optical imaging assays bridge the gap between the
Indexed as
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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.