194 Burbridge and West
give an indication of inhibition in all three cases. In other words, whilst in
case 3, all four parameters would indicate inhibition, in case 2 only outgrowth
(maximal or mean) and density are reduced, vessel number being unchanged,
and in case 1 only two parameters would indicate a reduction in the angiogenic
response. The measurement of the degree of angiogenic stimulation is simply
an inverse situation and a measure of vascular density would again be most
reliable. Other parameters, such as branching, individual vessel length, or total
vessel length could also be measured, and it is important to bear in mind all
these parameters and their possible modification when evaluating the angio-
genic response. Microvascular growth curves showing the evolution of the
spontaneous angiogenic response in terms of different parameters are presented
in Fig. 6.
Angiogenesis in this model closely approximates that observed in wound
healing, where a rapid growth rate of vessels and migration of fibroblasts is
followed by a slowing down in growth rate as microvessels mature and the
wound is healed. However, if we consider vessel growth in the case of patho-
logical situations such as tumor growth and diabetic retinopathy, a notion of
growth rate rather than of maximal density would be more applicable. It is thus
important to consider whether a measure of any of these parameters at any one
time point, or rather a comparison of kinetic profiles would be more relevant to
the subject of investigation. Microvascular growth curves for stimulation by
vascular endothelial growth factor are shown in Fig. 7. It is apparent that per-
centage stimulation calculated for this growth factor would depend both on the
parameter and on the day chosen for measurement.
3.6. Quantification—Image Analysis
Examine cultures under an inverted microscope with non-phase-contrast
optics. See Note 7. Transfer images to a monitor screen for image analysis.
3.6.1. Semiautomated Image Analysis
If a detailed analysis of microvascular outgrowth is required, an accurate
reproduction of the microvessel network is acquired manually before analysis
is performed. See Note 24.
1. Using suitable software, trace the outline of each vessel on the monitor screen.
2. Transfer the coordinates of these traced vessels to graphic software (such as
Excel, Microsoft) to reproduce the pattern of microvessel outgrowth in the form
of a silhouette (Fig. 8A,B).
3. A number of parameters may be automatically measured, including vessel num-
ber, mean vessel length, maximum and mean distance of outgrowth, and number
of branchings.