Evidence map›Paper›PMID 36429102›Full record

ReviewCells2022

Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis.

Yinxu Bian, Tao Xing, Kerong Jiao, Qingqing Kong, Jiaxiong Wang, Xiaofei Yang, Shenmin Yang, Yannan Jiang, Renbing Shen, Hua Shen and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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 4 institutions in 1 country.

Yinxu BianSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Tao XingSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0001-9092-5565
Kerong JiaoSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Qingqing KongSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Jiaxiong WangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China.ORCID 0000-0002-2819-165X
Xiaofei YangSchool of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China.
Shenmin YangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China.
Yannan JiangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China.
Renbing ShenThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China.
Hua ShenSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Cuifang KuangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Nanjing University of Science and Technology · CNSuzhou Municipal Hospital · CNSoochow University · CNZhejiang Lab · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In bio-medical mobile workstations, e.g., the prevention of epidemic viruses/bacteria, outdoor field medical treatment and bio-chemical pollution monitoring, the conventional bench-top microscopic imaging equipment is limited. The comprehensive multi-mode (bright/dark field imaging, fluorescence excitation imaging, polarized light imaging, and differential interference microscopy imaging, etc.) biomedical microscopy imaging systems are generally large in size and expensive. They also require professional operation, which means high labor-cost, money-cost and time-cost. These characteristics prevent them from being applied in bio-medical mobile workstations. The bio-medical mobile workstations need microscopy systems which are inexpensive and able to handle fast, timely and large-scale deployment. The development of lightweight, low-cost and portable microscopic imaging devices can meet these demands. Presently, for the increasing needs of point-of-care-test and tele-diagnosis, high-performance computational portable microscopes are widely developed. Bluetooth modules, WLAN modules and 3G/4G/5G modules generally feature very small sizes and low prices. And industrial imaging lens, microscopy objective lens, and CMOS/CCD photoelectric image sensors are also available in small sizes and at low prices. Here we review and discuss these typical computational, portable and low-cost microscopes by refined specifications and schematics, from the aspect of optics, electronic, algorithms principle and typical bio-medical applications.

Indexed as

LensesMicroscopyAlgorithmsMicroscopy, InterferencePoint-of-Care Systemscomputational imagingpoint-of-care-testportable microscope

Identifiers

PMID36429102
PMCPMC9688637
OpenAlexW4309787418

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.