Evidence map›Paper›PMID 36687639›Full record

ArticleFrontiers in microbiology2022

Video frame prediction of microbial growth with a recurrent neural network.

Connor Robertson, Jared L Wilmoth, Scott Retterer, Miguel Fuentes-Cabrera

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2022. 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

4 authors.

Connor RobertsonDepartment of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, United States.
Jared L WilmothDepartment of Environmental Science and Technology, University of Maryland, College Park, MD, United States.
Scott RettererCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
Miguel Fuentes-CabreraCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent explosion of interest and advances in machine learning technologies has opened the door to new analytical capabilities in microbiology. Using experimental data such as images or videos, machine learning, in particular deep learning with neural networks, can be harnessed to provide insights and predictions for microbial populations. This paper presents such an application in which a Recurrent Neural Network (RNN) was used to perform prediction of microbial growth for a population of two

Indexed as

deep learningmachine learningmicrobial growthpopulation growthRecurrent Neural Networkvideo frame prediction

Identifiers

PMID36687639
PMCPMC9850103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.