ArticleJournal of biophotonics2026
Multispectral Infrared Colony Phenotyping for High-Throughput Microbiological Control of Waters.
Article in Journal of biophotonics, 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
6 authors.
Funding
Abstract
Microbiological water quality assessment relies on culture-based methods that are time-consuming, resource-intensive, and often lack specificity. To address these limitations, we developed a prototype for automated, label-free, and nondestructive microbial identification based on discrete frequency infrared (DFIR) multispectral imaging. By combining monochromatic quantum cascade lasers (QCLs) with an uncooled bolometer array, this prototype captures spectral and morphological fingerprints of colonies directly on filtration membranes. A demonstration database of 3230 colonies from 11 strains across 7 genera was acquired. In average, deep-learning based classification achieved a 96.5% ± 1.3% correct identification rate. Overall, this prototype brings DFIR imaging one step closer to an industry-ready microbial identification tool.
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.