Evidence map›Paper›PMID 25985876›Full record

ReviewVirchows Archiv : an international journal of pathology2015

Wide-field pathology imaging using on-chip microscopy.

Yibo Zhang, Alon Greenbaum, Wei Luo, Aydogan Ozcan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Review
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

4 authors at 2 institutions in 1 country.

Yibo ZhangElectrical Engineering Department, University of California, Los Angeles, CA, 90095, USA.
Alon Greenbaum
Wei Luo
Aydogan Ozcan
University of California, Los Angeles · USCalifornia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the primary imaging tool to assist the examination of pathological samples, the conventional light microscope suffers from limited throughput, relatively high cost, bulky size, lack of portability, and requirement for focus adjustment. All of these drawbacks partially limit the use of light microscopy tools in resource-limited settings. Lens-free on-chip microscopy can help to address these drawbacks and achieve high-throughput pathology slide imaging without using lenses or objectives. Here, we review the performance of this lens-free imaging platform by showing examples of its performance with various samples including normal and sickle-cell disease blood smears and human carcinoma of the breast. This lens-free computational microscopy platform is a promising tool that can serve high-throughput pathology needs especially in resource-poor settings.

Indexed as

Anemia, Sickle CellBreast NeoplasmsFemaleHumansMicroscopy

Identifiers

PMID25985876
OpenAlexW1887407706

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.