Evidence map›Paper›PMID 30319898›Full record

ArticleBiomedical optics express2018

Quantification of stored red blood cell fluctuations by time-lapse holographic cell imaging.

Keyvan Jaferzadeh, Inkyu Moon, Manon Bardyn, Michel Prudent, Jean-Daniel Tissot, Benjamin Rappaz, Bahram Javidi, Gerardo Turcatti, Pierre Marquet

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Keyvan JaferzadehDepartment of Robotics Engineering, DGIST, 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, South Korea.
Inkyu MoonDepartment of Robotics Engineering, DGIST, 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, South Korea.
Manon BardynTransfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
Michel PrudentTransfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
Jean-Daniel TissotTransfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
Benjamin RappazBiomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Bahram JavidiDepartment of Electrical and Computer Engineering, U-2157, University of Connecticut, Storrs, CT 06269, USA.
Gerardo TurcattiBiomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Pierre MarquetCentre de recherche CERVO, 2601 chemin de la Canardière, Québec, QC G1J 2G3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose methods to quantitatively calculate the fluctuation rate of red blood cells with nanometric axial and millisecond temporal sensitivity at the single-cell level by using time-lapse holographic cell imaging. For this quantitative analysis, cell membrane fluctuations (CMFs) were measured for RBCs stored at different storage times. Measurements were taken over the whole membrane for both the ring and dimple sections separately. The measurements show that healthy RBCs that maintain their discocyte shape become stiffer with storage time. The correlation analysis demonstrates a significant negative correlation between CMFs and the sphericity coefficient, which characterizes the morphological type of erythrocyte. In addition, we show the correlation results between CMFs and other morphological properties such as projected surface area, surface area, mean corpuscular volume, and mean corpuscular hemoglobin.

Identifiers

PMID30319898
PMCPMC6179419

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.