ArticleProceedings of SPIE--the International Society for Optical Engineering2026
Illuminating native fluorescence signatures for cancer detection.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Autofluorescence describes light emitted from a naturally occurring substance when exposed to light of a shorter wavelength. It has been shown that cancer-related changes in tissue composition can be responsible for shifts in autofluorescence intensity of biological samples. Several prior studies have worked to characterize the spectral properties of autofluorescent molecules using spectrofluorometers and microscope systems. Here, we quantitatively characterized endogenous fluorophores using spectrofluorometry and fluorescence microscopy with the objective of establishing a reference spectral library for subsequent spectral unmixing of hyperspectral images of mouse tissues during colorectal cancer (CRC) progression. Endogenous fluorophores of interest include collagen, elastin, nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD), protoporphyrin IX (PPIX), tryptophan, and tyrosine. In the tumor microenvironment (TME), collagen is overproduced and remodeled affecting immune cell infiltration and treatment resistance; elastin degradation generates fragments to promote or inhibit tumor development; NADH and FAD play essential roles in reduction-oxidation reactions; PPIX precedes heme in the heme biosynthesis pathway; and tryptophan and tyrosine are autofluorescent amino acids. Concentration fluctuations of these endogenous fluorophores are directly related to autofluorescent properties which contribute to shifts in bulk autofluorescence spectra concurrent with tissue restructuring caused by the TME. Current hyperspectral fluorescence microscopy techniques utilize emission-scanning hyperspectral imaging (Em-HSI). However, this method requires long acquisition times that would be incompatible with real-time endoscopic screening. Here, we utilize a novel excitation-scanning hyperspectral imaging (Ex-HSI) approach to establish a comprehensive spectral library of several biologically-relevant autofluorescent molecules for downstream spectral unmixing of mouse CRC tissue spectral image stacks.
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.