Evidence map›Paper›PMID 31646057›Full record

ArticleBiomedical optics express2019

Fluorescence modeling of

Madeleine S Durkee, Jeffrey D Cirillo, Kristen C Maitland

Abstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Expert review of respiratory medicine · 2026
    Review
  2. Review
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

3 authors.

Madeleine S DurkeeDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Jeffrey D CirilloDepartment of Microbial Pathogenesis and Immunology, Texas A&M College of Medicine, Bryan, TX 77807, USA.
Kristen C MaitlandDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0003-0931-0622

Funding

Application of Imaging to Development of Tuberculosis InterventionsR01AI104960 · NIAID · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI CIRILLO, JEFFREY D. · 2014 to 2018
$1.9M
NIAID NIH HHS R01 AI104960
6 · The paper itself

Abstract

Tuberculosis is one of the deadliest infectious diseases worldwide. New tools to study pathogenesis and monitor subjects in pre-clinical studies to develop treatment regimens are critical for progress. We developed an improved optical system for detecting bacteria in lungs of mice using internal illumination. We present a computational optical model of the full mouse torso to characterize the optical system. Simulated theoretical limits for the lowest detectable bacterial load support the experimental improvements with an internal illumination source, and suggest that protocol improvements could further lower the detection threshold.

Identifiers

PMID31646057
PMCPMC6788618

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.