| Title |
Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, April 2008
|
| DOI | 10.1007/s11517-008-0349-4 |
| Pubmed ID | |
| Authors |
J. G. G. Dobbe, G. J. Streekstra, B. Atasever, R. van Zijderveld, C. Ince |
| Abstract |
This study describes a new method for analyzing microcirculatory videos. It introduces algorithms for quantitative assessment of vessel length, diameter, the functional microcirculatory density distribution and red blood-cell (RBC) velocity in individual vessels as well as its distribution. The technique was validated and compared to commercial software. The method was applied to the sublingual microcirculation in a healthy volunteer and in a patient during cardiac surgery. Analysis time was reduced from hours to minutes compared to previous methods requiring manual vessel identification. Vessel diameter was detected with high accuracy (>80%, d > 3 pixels). Capillary length was estimated within 5 pixels accuracy. Velocity estimation was very accurate (>95%) in the range [2.5, 1,000] pixels/s. RBC velocity was reduced by 70% during the first 10 s of cardiac luxation. The present method has been shown to be fast and accurate and provides increased insight into the functional properties of the microcirculation. |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 94 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 18% |
| Researcher | 17 | 17% |
| Student > Master | 15 | 15% |
| Professor > Associate Professor | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Other | 20 | 20% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 37% |
| Engineering | 16 | 16% |
| Computer Science | 9 | 9% |
| Agricultural and Biological Sciences | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 9 | 9% |
| Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2022.
All research outputs
#2,285,043
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#12
of 2,053 outputs
Outputs of similar age
#5,963
of 92,887 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 92,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them