Evidence map›Paper›PMID 36388128›Full record

ArticleFrontiers in physiology2022

Cell image reconstruction using digital holography with an improved GS algorithm.

Yuhao Jiang, Hongzhong Li, Yu Pang, Jiwei Ling, Hao Wang, Yuling Yang, Xinyu Li, Yin Tian, Xiuxin Wang

Abstract read
In one paragraph

Article in Frontiers in physiology, 2022. 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

9 authors.

Yuhao JiangInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Hongzhong LiSchool of Civil Engineering, Guangdong Communication Polytechnic, Guangzhou, China.
Yu PangInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jiwei LingInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Hao WangInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Yuling YangInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xinyu LiInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Yin TianInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xiuxin WangInstitute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital holography is an effective technology in image reconstruction as amplitude and phase information of cells can be acquired without any staining. In this paper, we propose a holographic technique with an improved Gerchberg-Saxton (GS) algorithm to reconstruct cell imaging based on phase reconstruction information. Comparative experiments are conducted on four specific models to investigate the effectiveness of the proposed method. The morphological parameters (such as shape, volume, and sphericity) of abnormal erythrocytes can be obtained by reconstructing cell hologram of urinary sediment. Notably, abnormal red blood cells can also be detected in mussy circumstances by the proposed method, owing to the significantly biophysical contrast (refractive index distribution and mass density) between two different cells. Therefore, this proposed method has a broad application prospect in cell image reconstruction and cell dynamic detection.

Indexed as

cell imagecomputer hologramGS algorithmphase reconstructionreconstruction

Identifiers

PMID36388128
PMCPMC9659819

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.