Evidence map›Paper›PMID 36604365›Full record

ArticleJournal of digital imaging2023

Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice.

Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao

Open access · greenAbstract read
In one paragraph

Article in Journal of digital imaging, 2023. 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
1.9field-weighted citation impact, top 12% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
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  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

6 authors at 2 institutions in 1 country.

Peng JiangInstitute of Artificial Intelligence, National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China.
Juan LiuInstitute of Artificial Intelligence, National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China. liujuan@whu.edu.cn.ORCID 0000-0001-9344-7415
Qiang LuoLanding Artificial Intelligence Center for Pathological Diagnosis, Wuhan, China.
Baochuan PangLanding Artificial Intelligence Center for Pathological Diagnosis, Wuhan, China.
Di XiaoLanding Artificial Intelligence Center for Pathological Diagnosis, Wuhan, China.
Dehua CaoLanding Artificial Intelligence Center for Pathological Diagnosis, Wuhan, China.
Beijing Academy of Artificial Intelligence · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathological scanners transform traditional glass slides into whole slide images (WSIs), which significantly improve the efficiency of pathological diagnosis and promote the development of digital pathology. However, the huge economic burden limits the spread and application of general WSI scanners in relatively remote and backward regions. In this paper, we develop an automatic portable cytopathology scanner based on mobile internet, Landing-Smart, to avert the above problems. Landing-Smart is a tiny device with a size of 208 mm × 107 mm × 104 mm and a weight of 1.8 kg, which integrates four main components including a smartphone, a glass slide carrier, an electric controller, and an optical imaging unit. By leveraging a simple optical imaging unit to substitute the sophisticated but complex conventional light microscope, the cost of Landing-Smart is less than $3000, much cheaper than general WSI scanners. On the one hand, Landing-Smart utilizes the built-in camera of the smartphone to acquire field of views (FoVs) in the section one by one. On the other hand, it uploads the images to the cloud server in real time via mobile internet, where the image processing and stitching method is implemented to generate the WSI of the cytological sample. The practical assessment of 209 cervical cytological specimens has demonstrated that Landing-Smart is comparable to general digital scanners in cytopathology diagnosis. Landing-Smart provides an effective tool for preliminary cytological screening in underdeveloped areas.

Indexed as

MicroscopyPathology, ClinicalComputersCytodiagnosisHumansImage Processing, Computer-AssistedOptical ImagingDigital pathologyMobile internetPathological scannerPortable tiny deviceTelepathologyWhole slide image

Identifiers

PMID36604365
PMCPMC10287606
OpenAlexW4313555209

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.