Evidence map›Paper›PMID 40871280›Full record

ArticleMicroorganisms2025

Investigating the Effects of Hydraulic Shear on

Yao Qu, Jiahuan Qian, Zhihua Lu, Ruihong Chen, Sheng Zhang, Jingyuan Cui, Chenyu Song, Haiping Zhang, Yafei Cui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2025. 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

9 authors.

Yao QuDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Jiahuan QianDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Zhihua LuShanghai Academy of Environmental Sciences, Shanghai 200233, China.
Ruihong ChenDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Sheng ZhangDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Jingyuan CuiDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Chenyu SongDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Haiping ZhangDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Yafei CuiDepartment of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.

Funding

the Ministry of Finance, PR China No. GY2025C-7
6 · The paper itself

Abstract

Hydraulic shear has been widely accepted as one of the essential factors modulating phytoplankton growth. Previous experimental studies of algal growth have been conducted at the macroscopic level, and direct observation at the cell scale has been lacking. In this study, an algal-cell dynamic continuous observation platform (ACDCOP) is proposed with a parallel-plate flow chamber (PPFC) to capture cellular growth images which are then used as input to a computer vision algorithm featuring a pre-trained backpropagation neural network to quantitatively evaluate the volumes and volumetric growth rates of individual cells. The platform was applied to investigate the growth of

Indexed as

backpropagation neural networkcellular growthcomputer visiondynamic observationhydraulic shearScenedesmus quadricauda

Identifiers

PMID40871280
PMCPMC12388814

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.