Evidence map›Paper›PMID 27698484›Full record

ArticleScientific reports2016

Measuring cell surface area and deformability of individual human red blood cells over blood storage using quantitative phase imaging.

HyunJoo Park, SangYun Lee, Misuk Ji, Kyoohyun Kim, YongHak Son, Seongsoo Jang, YongKeun Park

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Investigation of Red Blood Cell Properties on Impedance Signatures Generated in a Coulter Counter.International journal for numerical methods in biomedical engineering · 2026
    Article
  2. 3D quantitative phase imagingRSC advances · 2025
    Article
  3. Biomechanics of phagocytosis of red blood cells by macrophages in the human spleen.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  19. Article
  20. 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

7 authors.

HyunJoo ParkDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
SangYun LeeDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Misuk JiDepartment of Laboratory Medicine, Eulji University Hospital, Daejeon 35233, Republic of Korea.
Kyoohyun KimDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
YongHak SonDepartment of Laboratory Medicine, Eulji University Hospital, Daejeon 35233, Republic of Korea.
Seongsoo JangDepartment of Laboratory Medicine, University of Ulsan, College of Medicine and Asan Medical Center, Seoul 05535, Republic of Korea.
YongKeun ParkDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functionality and viability of stored human red blood cells (RBCs) is an important clinical issue in transfusions. To systematically investigate changes in stored whole blood, the hematological properties of individual RBCs were quantified in blood samples stored for various periods with and without a preservation solution called citrate phosphate dextrose adenine-1 (CPDA-1). With 3-D quantitative phase imaging techniques, the optical measurements for 3-D refractive index (RI) distributions and membrane fluctuations were done at the individual cell level. From the optical measurements, the morphological (volume, surface area and sphericity), biochemical (hemoglobin content and concentration), and mechanical parameters (dynamic membrane fluctuation) were simultaneously quantified to investigate the functionalities and progressive alterations of stored RBCs. Our results show that stored RBCs without CPDA-1 had a dramatic morphological transformation from discocytes to spherocytes within two weeks which was accompanied by significant decreases in cell deformability and cell surface area, and increases in sphericity. However, the stored RBCs with CPDA-1 maintained their morphology and deformability for up to 6 weeks.

Indexed as

Erythrocyte DeformabilityBlood PreservationBlood TransfusionCitratesGlucoseHemoglobinsHumanscitrate phosphate dextroseCitratesGlucoseHemoglobins

Identifiers

PMID27698484
PMCPMC5048416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.