Evidence map›Paper›PMID 32610652›Full record

ArticleSensors (Basel, Switzerland)2020

CellCountCV-A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks.

Denis Antonets, Nikolai Russkikh, Antoine Sanchez, Victoria Kovalenko, Elvira Bairamova, Dmitry Shtokalo, Sergey Medvedev, Suren Zakian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Denis AntonetsA.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk 630090, Russia.ORCID 0000-0002-1823-9701
Nikolai RusskikhA.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk 630090, Russia.
Antoine SanchezGrenoble Institute of Technology ENSE3, 38031 Grenoble, France.
Victoria KovalenkoThe Federal Research Center Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.
Elvira BairamovaThe Federal Research Center Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.
Dmitry ShtokaloA.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk 630090, Russia.
Sergey MedvedevThe Federal Research Center Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.ORCID 0000-0002-1520-5549
Suren ZakianThe Federal Research Center Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.

Funding

Russian Science Foundation 19-75-20063
6 · The paper itself

Abstract

In vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate, in real time, the processes occurring in living cells. At present, there are fluorescence, protein-based, sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca

Indexed as

Cell CountImage Processing, Computer-AssistedNeural Networks, ComputerAutomationHumansMicroscopyfluorescent protein-based sensorsimage analysisneural networks

Identifiers

PMID32610652
PMCPMC7374276

What Socratic 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 Socratic graph.