Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

Imaging system for three-dimensional mapping of cerebrocortical capillary networks in vivo. Microvasc Res 1993 Nov;46(3):293-309 PMID: 8121315


A personal computer-based image analysis system was developed for the three-dimensional mapping of cerebrocortical capillary networks from intravital video recordings. Capillary circulation in the parietal cortex of anesthetized rats was visualized to 70 microns depth using a closed cranial window preparation and epi-fluorescent, intensified video microscopy. The circulation was video recorded during slow (0.1 micron/frame) scanning of the focal plane (depth of field = 10 microns) through regions of interest. Capillary networks were traced from still video images of several microscope fields recorded at different X, Y, and Z stage coordinates. The length of vessel segments from five networks ranged between 10 and 178 microns and was best approximated by the Gamma distribution. Vessel diameter (2.5 to 8.7 microns) was best fitted by the lognormal distribution. A specific capillary network contained 51 segments and five anastomosing loops with circumferences between 575 and 1226 microns. Velocity of fluorescently labeled red blood cells ranged from 0.77 to 2.22 mm/sec within the capillary loops. The study demonstrates the feasibility of reconstructing capillary networks from intravital video recordings as deep as 70 microns within the cerebral cortex and finds an anastomosing pattern and heterogeneous red blood cell velocity in the capillary network.

Author List

Hudetz AG, Greene AS, Fehér G, Knuese DE, Cowley AW Jr


Andrew S. Greene PhD Interim Vice Chair, Chief, Professor in the Biomedical Engineering department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Anastomosis, Surgical
Cerebral Cortex
Image Processing, Computer-Assisted
Rats, Sprague-Dawley
Video Recording

View this publication's entry at the Pubmed website PMID: 8121315
jenkins-FCD Prod-169 3190624ff63883a964b0308a7647b09582875180