Evidence map›Paper›PMID 41593068›Full record

ArticleNPJ biofilms and microbiomes2026

Real-time, high-resolution metabolic characterization of live bacteria using label-free optical metabolic imaging.

Janet E Sorrells, Lingxiao Yang, Rishyashring R Iyer, Farzana R Zaki, Adam A Markowicz, Guillermo L Monroy, Edita Aksamitiene, Marina Marjanovic, Stephen A Boppart

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Janet E SorrellsBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Lingxiao YangBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Rishyashring R IyerBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Farzana R ZakiBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Adam A MarkowiczBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Guillermo L MonroyBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Edita AksamitieneBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Marina MarjanovicBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Stephen A BoppartBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA. boppart@illinois.edu.

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Integration of Raman Spectroscopy and Optical Coherence Tomography (RS-OCT) for In-Vivo Identification of Bacterial Otitis MediaR01EB028615 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A, MAHADEVAN-JANSEN, ANITA · 2019 to 2022
$2.5M
Tissue microenvironment (TIMe) training programT32EB019944 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT, GASKINS, REX · 2016 to 2025
$1.9M
NIBIB NIH HHS P41 EB031772NIH HHS R01EB028615NIH HHS T32EB019944
6 · The paper itself

Abstract

Label-free optical imaging provides non-invasive, high-speed, high-resolution metabolic characterization of live bacteria with single-cell resolution. Here, we demonstrate the ability of label-free multiphoton autofluorescence microscopy to characterize the fast (between 0 and 30 min) metabolic changes in bacteria in response to antibiotic treatments and observe the cell-to-cell metabolic heterogeneity of planktonic bacteria and biofilms. Results indicate that bacteria exhibit a distinct measurable response to bactericidal treatments within seconds. Furthermore, S. aureus biofilms exhibit metabolic heterogeneity, with local pockets of high metabolic activity. Bacteria in biofilms exhibit altered metabolic profiles compared to planktonic bacteria for all four species examined: S. aureus, P. aeruginosa, M. catarrhalis, and S. pneumoniae. These results shed light on the spatial and temporal metabolic heterogeneity of bacteria and the quantification possibilities using label-free nonlinear optical microscopy.

Indexed as

BacteriaOptical ImagingAnti-Bacterial AgentsBiofilmsMetabolomeMicroscopy, Fluorescence, MultiphotonStaphylococcus aureusAnti-Bacterial Agents

Identifiers

PMID41593068
PMCPMC12949149

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.