A novel approach to the quantification of hepatic stellate cells in intravital fluorescence microscopy of the liver using a computerized image analysis system

Citation
Xy. Zhang et al., A novel approach to the quantification of hepatic stellate cells in intravital fluorescence microscopy of the liver using a computerized image analysis system, MICROVASC R, 60(3), 2000, pp. 232-240
Citations number
27
Categorie Soggetti
Cardiovascular & Hematology Research
Journal title
MICROVASCULAR RESEARCH
ISSN journal
00262862 → ACNP
Volume
60
Issue
3
Year of publication
2000
Pages
232 - 240
Database
ISI
SICI code
0026-2862(200011)60:3<232:ANATTQ>2.0.ZU;2-L
Abstract
Hepatic stellate cells (HSC) are nonparenchymal liver cells which reside in the space of Disse within the hepatic microcirculatory unit. HSC can be di stinguished using intravital fluorescent microscopy (IVFM) due to the autof luorescence from their intracellular vitamin A. Herein we report on a novel approach for the quantification of video-recorded rat HSC images acquired by IVFM (excitation 360 nm/ emission 420 nm) by the combined use of the "Ce ll counting macro" and the "Measurement macros" in the NIH image software. The approach involved two major steps using (i) the "Cell counting macro" f or automatic detection, threshold-setting, and generation of a binary image of the vitamin A autofluorescence in the HSC images and (ii) the "Compute percent black and white" command in the "Measurement macros" to automatical ly determine the HSC density (%), which was then expressed as percentage of the total area of vitamin A autofluorescence-associated sites per observat ion area. Comparing the vitamin A autofluorescence areas in the original an d the binary fashion HSC images revealed that the "Cell counting macro" was an optimal option for the analysis of the low-magnification (x10 objective ) HSC images, whereas this macro was not suitable for the analysis of the h igher magnification (40x objective) HSC images unless modifications were ma de. Our analysis revealed that HSC represent approximately 4-5% of the tota l area of the liver surface. In analyzing the higher magnification HSC micr ofluorographs, the use of the original "Cell counting macro" resulted in a significant underestimation of HSC density (60% reduction, P < 0.01) when c ompared with those analyzed using our modified macro. This study represents the first report of an automatic and reliable approach to the intravital f luorescent microscopic quantification of HSC using a computer-NIH image ana lysis system. (C) 2000 Academic Press.