ArticlemBio2026
Label-free microscopy enables high-throughput identification of genes controlling biofilm development.
Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A branching cell-fate decision in biofilm dispersal enables long-term surface persistence.bioRxiv : the preprint server for biology · 2026Article
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6 authors.
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Abstract
Biofilms are structured microbial communities that thrive on diverse surfaces in natural, industrial, and host environments. The biofilm lifestyle underpins microbial survival, shapes ecosystem function, and drives persistent infections; yet, for many microbes, the molecular determinants of biofilm development remain poorly defined. Here, we introduce "label-free analysis of biofilms" (LFAB), an imaging method that integrates time-lapse, low-magnification brightfield microscopy with regional optical density measurements to quantify biofilm biomass. Unlike conventional assays, LFAB enables real-time, non-perturbative, and high-throughput monitoring of biofilm dynamics. We validated LFAB across diverse microbial species and observed a strong correlation with traditional biofilm quantification methods. Applying LFAB to IMPORTANCE: Biofilms are structured communities of microorganisms that attach to surfaces and persist within a self-produced matrix. The biofilm lifestyle underlies microbial survival in nature, contributes to industrial biofouling, and drives many chronic infections. Despite the importance of biofilms, high-throughput measurements of biofilm growth dynamics are challenging using existing tools, which are often disruptive or are not scalable. To overcome this limitation, we developed "label-free analysis of biofilms" (LFAB), a brightfield-based imaging platform that enables real-time, non-perturbative, and scalable quantification of biofilm biomass. LFAB is broadly applicable across species and correlates strongly with traditional assays. Applying LFAB to
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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.