Evidence map›Paper›PMID 38923720›Full record

ArticleJournal of molecular recognition : JMR2024

Measurement of protein concentration in bacteria and small organelles under a light transmission microscope.

M A Model, R Guo, K Fasina, R Jin, R J Clements, L G Leff

Abstract read
In one paragraph

Article in Journal of molecular recognition : JMR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Macromolecular Crowding in Cell Stress and Death.Sub-cellular biochemistry · 2025
    Review
  3. Article
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

6 authors.

M A ModelDepartment of Biological Science, Kent State University, Kent, Ohio, USA.ORCID 0000-0002-3292-3382
R GuoDepartment of Computer Science, Kent State University, Kent, Ohio, USA.
K FasinaDepartment of Biological Science, Kent State University, Kent, Ohio, USA.
R JinDepartment of Computer Science, Kent State University, Kent, Ohio, USA.
R J ClementsDepartment of Biological Science, Kent State University, Kent, Ohio, USA.
L G LeffDepartment of Biological Science, Kent State University, Kent, Ohio, USA.

Funding

Automating Biomedical Data AnalysisR15GM139115 · NIGMS · KENT STATE UNIVERSITY · PI CLEMENTS, ROBERT J · 2020 to 2020
$446k
Kent State University Research CouncilNIGMS NIH HHS R15 GM139115NIH HHS 1R15GM139115-01
6 · The paper itself

Abstract

Protein concentration (PC) is an essential characteristic of cells and organelles; it determines the extent of macromolecular crowding effects and serves as a sensitive indicator of cellular health. A simple and direct way to quantify PC is provided by brightfield-based transport-of-intensity equation (TIE) imaging combined with volume measurements. However, since TIE is based on geometric optics, its applicability to micrometer-sized particles is not clear. Here, we show that TIE can be used on particles with sizes comparable to the wavelength. At the same time, we introduce a new ImageJ plugin that allows TIE image processing without resorting to advanced mathematical programs. To convert TIE data to PC, knowledge of particle volumes is essential. The volumes of bacteria or other isolated particles can be measured by displacement of an external absorbing dye ("transmission-through-dye" or TTD microscopy), and for spherical intracellular particles, volumes can be estimated from their diameters. We illustrate the use of TIE on Escherichia coli, mammalian nucleoli, and nucleolar fibrillar centers. The method is easy to use and achieves high spatial resolution.

Indexed as

Escherichia coliOrganellesAnimalsCell NucleolusHumansImage Processing, Computer-Assistedbacteriacell volumefibrillar centersmacromolecular crowdingnucleolirefractive indextransport‐of‐intensity equation

Identifiers

PMID38923720
PMCPMC11323175

What OpenQuestion holds

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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.