Evidence map›Paper›PMID 31259049›Full record

ArticleBiomedical optics express2019

Label-free tomography of living cellular nanoarchitecture using hyperspectral self-interference microscopy.

Rongxin Fu, Ya Su, Ruliang Wang, Xue Lin, Kai Jiang, Xiangyu Jin, Han Yang, Li Ma, Xianbo Luo, Ying Lu and 1 more

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

Article in Biomedical optics express, 2019. 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
0.9field-weighted citation impact, top 24% 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, 9 citations in OpenAlex.

  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

11 authors at 1 institution in 1 country.

Rongxin FuDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Ya SuDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Ruliang WangDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Xue LinDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Kai JiangDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Xiangyu JinDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Han YangDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Li MaNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Xianbo LuoNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Ying LuDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Guoliang HuangDepartment of Biomedical Engineering, the School of Medicine, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative phase imaging (QPI) is the most ideal method for achieving long-term cellular tomography because it is label free and quantitative. However, for current QPI instruments, interference signals from different layers overlay with each other and impede nanoscale optical sectioning. Integrated incubators and improved configurations also require further investigation for QPI instruments. In this work, hyperspectral self-reflectance microscopy is proposed to achieve label-free tomography of living cellular nanoarchitecture. The optical description and tomography reconstruction algorithm were proposed so that the quantitative morphological structure of the entire living cell can be acquired with 89.2 nm axial resolution and 1.91 nm optical path difference sensitivity. A cell incubator was integrated to culture living cells for

Identifiers

PMID31259049
PMCPMC6583342
OpenAlexW2944821206

What OpenQuestion holds

Textmetadata
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.