Evidence map›Paper›PMID 26334858›Full record

ArticleJournal of biomedical optics2015

Quantitative phase imaging of arthropods.

Shamira Sridharan, Aron Katz, Felipe Soto-Adames, Gabriel Popescu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Shamira SridharanUniversity of Illinois at Urbana-Champaign, Beckman Institute of Advanced Science and Technology, Quantitative Light Imaging Laboratory, Department of Bioengineering, 405 North Matthews Avenue, Urbana, Illinois 61801, United States.
Aron KatzUniversity of Illinois at Urbana-Champaign, Department of Entomology, 606 East Healey Street, Champaign, Illinois 61820, United States.
Felipe Soto-AdamesUniversity of Illinois at Urbana-Champaign, Department of Entomology, 606 East Healey Street, Champaign, Illinois 61820, United States.
Gabriel PopescuUniversity of Illinois at Urbana-Champaign, Beckman Institute of Advanced Science and Technology, Quantitative Light Imaging Laboratory, Department of Bioengineering, 405 North Matthews Avenue, Urbana, Illinois 61801, United States.
University of Illinois Urbana-Champaign · US

Funding

Label free imaging of blood smears and tissue biopsiesR21CA147967 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI POPESCU, GABRIEL · 2010 to 2011
$317k
NCI NIH HHS R21 CA147967NCI NIH HHS R21 CA147967-01)
6 · The paper itself

Abstract

Classification of arthropods is performed by characterization of fine features such as setae and cuticles. An unstained whole arthropod specimen mounted on a slide can be preserved for many decades, but is difficult to study since current methods require sample manipulation or tedious image processing. Spatial light interference microscopy (SLIM) is a quantitative phase imaging (QPI) technique that is an add-on module to a commercial phase contrast microscope. We use SLIM to image a whole organism springtail Ceratophysella denticulata mounted on a slide. This is the first time, to our knowledge, that an entire organism has been imaged using QPI. We also demonstrate the ability of SLIM to image fine structures in addition to providing quantitative data that cannot be obtained by traditional bright field microscopy.

Indexed as

AnimalsArthropodsEntomologyImage Processing, Computer-AssistedMicroscopy, Interference

Identifiers

PMID26334858
PMCPMC4689101
OpenAlexW1777295473

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.