Evidence map›Paper›PMID 36985049›Full record

ArticleMicromachines2023

Structured Illumination Microscopy of Mitochondrial in Mouse Hepatocytes with an Improved Image Reconstruction Algorithm.

Kai Hu, Xuejuan Hu, Ting He, Jingxin Liu, Shiqian Liu, Jiaming Zhang, Yadan Tan, Xiaokun Yang, Hengliang Wang, Yifei Liang and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2023. 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
0.4field-weighted citation impact, top 25% of its field
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 citations in OpenAlex.

  1. Review
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

11 authors at 3 institutions in 1 country.

Kai HuSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Xuejuan HuSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Ting HeSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0001-9470-4081
Jingxin LiuCollege of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China.
Shiqian LiuLaboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Provincial Higher Education Institute, Shenzhen Technology University, Shenzhen 518118, China.
Jiaming ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Yadan TanSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Xiaokun YangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Hengliang WangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Yifei LiangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Jianze YeSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Shenzhen Technology University · CNGuangxi Normal University · CNShenzhen University · CN

Funding

Characteristic Innovation Project (Natural Science) of Ordinary Colleges and Universities in Gunajiuangdong Province 2021KTSCX111Self-made instrument project of Shenzhen Technology University JSZZ202102023Shenzhen Pingshan District Science and Technology Innovation Special Supporting Project PSKG202006Stable support fund for higher education institutions of Shenzhen (General project) 20220718183230002
6 · The paper itself

Abstract

In this paper, a structured illumination microscopy (SIM) image reconstruction algorithm combined with notch function (N-SIM) is proposed. This method suppresses the defocus signal in the imaging process by processing the low-frequency signal of the image. The existing super-resolution image reconstruction algorithm produces streak artifacts caused by defocus signal. The experimental results show that the algorithm proposed in our study can well suppress the streak artifacts caused by defocused signals during the imaging process without losing the effective information of the image. The image reconstruction algorithm is used to analyze the mouse hepatocytes, and the image processing tool developed by MATLAB is applied to identify, detect and count the reconstructed images of mitochondria and lipid droplets, respectively. It is found that the mitochondrial activity in oxidative stress induced growth inhibitor 1 (OSGIN1) overexpressed mouse hepatocytes is higher than that in normal cells, and the interaction with lipid droplets is more obvious. This paper provides a reliable subcellular observation platform, which is very meaningful for biomedical work.

Indexed as

artifacthepatocytelipid dropletsmitochondrianotch filterSIMsuper-resolution

Identifiers

PMID36985049
PMCPMC10055965
OpenAlexW4324096740

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.