Evidence map›Paper›PMID 36788263›Full record

ArticleScientific reports2023

Use of the speckle imaging sub-pixel correlation analysis in revealing a mechanism of microbial colony growth.

Ilya Balmages, Janis Liepins, Ernests Tomass Auzins, Dmitrijs Bliznuks, Edgars Baranovics, Ilze Lihacova, Alexey Lihachev

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

7 authors.

Ilya BalmagesFaculty of Computer Science and Information Technology, Department of Computer Control and Computer Networks, Riga Technical University, Zunda Krastmala 10, LV-1048, Riga, Latvia. ilya.balmages@rtu.lv.
Janis LiepinsInstitute of Microbiology and Biotechnology, University of Latvia, Jelgavas str. 1, Riga, LV-1004, Latvia.
Ernests Tomass AuzinsLaboratorija Auctoritas Ltd, Čiekurkalna 1. linija 11, Riga, LV-1026, Latvia.
Dmitrijs BliznuksFaculty of Computer Science and Information Technology, Department of Computer Control and Computer Networks, Riga Technical University, Zunda Krastmala 10, LV-1048, Riga, Latvia.
Edgars BaranovicsLaboratorija Auctoritas Ltd, Čiekurkalna 1. linija 11, Riga, LV-1026, Latvia.
Ilze LihacovaInstitute of Atomic Physics and Spectroscopy, University of Latvia, Jelgavas str. 3, Riga, LV-1004, Latvia.
Alexey LihachevInstitute of Atomic Physics and Spectroscopy, University of Latvia, Jelgavas str. 3, Riga, LV-1004, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial colony growth is driven by the activity of the cells located on the edges of the colony. However, this process is not visible unless specific staining or cross-sectioning of the colony is done. Speckle imaging technology is a non-invasive method that allows visualization of the zones of increased microbial activity within the colony. In this study, the laser speckle imaging technique was used to record the growth of the microbial colonies. This method was tested on three different microorganisms: Vibrio natriegens, Escherichia coli, and Staphylococcus aureus. The results showed that the speckle analysis system is not only able to record the growth of the microbial colony but also to visualize the microbial growth activity in different parts of the colony. The developed speckle imaging technique visualizes the zone of "the highest microbial activity" migrating from the center to the periphery of the colony. The results confirm the accuracy of the previous models of colony growth and provide algorithms for analysis of microbial activity within the colony.

Indexed as

Diagnostic ImagingEscherichia coliColony Count, Microbial

Identifiers

PMID36788263
PMCPMC9929235

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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.