Data · collection · 2018
Quantification of stored red blood cells fluctuations by time-lapse holographic cell imaging
Listed in DataCite
The functionality of human red blood cells (RBCs) has clinical relevance for hematology and depends on RBC dynamics and morphology.
Description
We propose methods to quantitatively calculate fluctuations rate 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.
Read the rest (1 more)
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.
Links
Where it is published
- Repository landing page figshare.com/collections/Quantification_of_stored_red_blood_cells_fluctuati… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.4150538 ↗
DOI / persistent id · from DataCite
Documentation and papers
- CC BY 4.0 creativecommons.org/licenses/by/4.0 ↗
license · from DataCite
- IsSupplementTo 10.1364/boe.9.004714 doi.org/10.1364/boe.9.004714 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.4150538 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.4150538 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Clinical medicine · Computer and information sciences · Electrical engineering, electronic engineering, information engineering · Medical engineering
- Inferred from text
- Imaging 75%
Related
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.4150538 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:medical-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:imaging | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |