Evidence map›Paper›PMID 30258690›Full record

ArticleBiomedical optics express2018

Wavefront division digital holographic microscopy.

Nimit Patel, Vismay Trivedi, Swapnil Mahajan, Vani Chhaniwal, Corinne Fournier, Seonoh Lee, Bahram Javidi, Arun Anand

Abstract read
In one paragraph

Article in Biomedical optics express, 2018. 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

8 authors.

Nimit PatelOptics Laboratory, Applied Physics Department, Faculty of Technology & Engineering, The M. S. University of Baroda, Vadodara 390001, India.
Vismay TrivediOptics Laboratory, Applied Physics Department, Faculty of Technology & Engineering, The M. S. University of Baroda, Vadodara 390001, India.
Swapnil MahajanOptics Laboratory, Applied Physics Department, Faculty of Technology & Engineering, The M. S. University of Baroda, Vadodara 390001, India.
Vani ChhaniwalOptics Laboratory, Applied Physics Department, Faculty of Technology & Engineering, The M. S. University of Baroda, Vadodara 390001, India.
Corinne FournierLaboratoire Hubert Curien, UMR 5516, CNRS, Université Jean Monnet, 18 rue du Professeur Benoît Lauras, F-42000 Saint-Etienne, France.
Seonoh LeeHICS Company Inc., 6F, 39, Banpo-daero 14-gil, Seocho-gu, Seoul 06652, South Korea.
Bahram JavidiDepartment of Electrical and Computer Engineering, U-4157, University of Connecticut, Storrs, CT 06269-4157, USA.
Arun AnandOptics Laboratory, Applied Physics Department, Faculty of Technology & Engineering, The M. S. University of Baroda, Vadodara 390001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital holographic microscopy is the state of the art quantitative phase imaging of micro-objects including living cells. It is an ideal tool to image and quantify cell thickness profiles with nanometer thickness resolution. Digital holographic techniques usually are implemented using a two-beam setup that may be bulky and may not be field portable. Self-referencing techniques provide compact geometry but suffer from a reduction of the field of view. Here, we discuss the development of a wavefront division digital holographic microscope providing the full field of view with a compact system. The proposed approach uses a wavefront division module consisting of two lenses. The developed microscope is tested experimentally by measuring the physical and mechanical properties of red blood cells.

Indexed as

(090.1995) Digital holography(180.0180) Microscopy

Identifiers

PMID30258690
PMCPMC6154202

What OpenQuestion holds

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Registered trials

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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.