Evidence map›Paper›PMID 36838026›Full record

ArticleMicromachines2023

On-Line Fluorescence Microscopy for Identification and Imaging of Apoptotic Cell with Synchrotron-Based Soft X-ray Tomography.

Chao Zhang, Zhao Wu, Zheng Dang, Lijiao Tian, Yong Guan, Gang Liu, Yangchao Tian

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Chao ZhangNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Zhao WuNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Zheng DangNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Lijiao TianNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.ORCID 0000-0003-3324-8064
Yong GuanNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Gang LiuNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Yangchao TianNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.

Funding

National Natural Science Foundation of China U2032148 11775224 U2032157Youth Innovation Promotion Association 2020457
6 · The paper itself

Abstract

Synchrotron-based soft X-ray tomography (SXT), providing three-dimensional morphology and quantitative distribution of linear absorption coefficient (LAC) of the imaged objects, is widely used in many fields to obtain ultra-structure images, especially in cellular imaging. Off-line fluorescence microscopies (FMs) are combined to identify the type of organelles and status of cells. However, deformation and displacement usually occur during the transfer and loading process, which decreases the precision of two-modal images' registration. In this paper, we report on an on-line FM, at the SXT station (BL07W) of the National Synchrotron Radiation Laboratory (NSRL), which avoids deformation and displacement. Therefore, researchers can easily find the sample and take the useful data without tedious post-processing. Combining SXT with on-line FM, we achieved the identification and high-resolution imaging of an apoptotic cell. The experiments revealed that the LAC of the nucleus of the apoptotic cell was larger than that of a normal cell, which could be explained by nucleus pyknosis of the apoptotic cell.

Indexed as

apoptotic cellson-line fluorescence microscopysoft X-ray tomography

Identifiers

PMID36838026
PMCPMC9963497

What OpenQuestion holds

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Registered trials

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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.