The original (raw) images obtained from the retinas of transgenic GFAP-GFP mice had a high signal-to-noise ratio compared with the synthetic fluorescent dyes (FITC and ICG) commonly used in retinal angiography,
31 which made quantitative analysis of the transgene expression difficult. To enhance the signal-to-noise ratio, a stack of raw images can be processed with the built-in software in the HRA II set or with the direct frame averaging module in the computing software (MatLab; MathWorks, Natick, MA) to obtain reasonably good composite images at a low magnification
(Fig. 1) . It was clear at this magnification that the transgenic (Tg) retina from the KA-treated mouse
(Fig. 1D)had a significantly higher FI over the saline control
(Fig. 1C) . It was also reassuring that the nontransgenic (nTg) retina from the saline-treated mouse
(Fig. 1A)or with KA
(Fig. 1B)yielded minimum and comparable fluorescence in the optic disc and the surrounding retina. However, at a higher magnification, we found that the quality of the composite images processed by the HRA II built-in software or the computing software (MatLab; MathWorks) to be inadequate for detailed image analysis and GFP signal quantification at the cellular level. Therefore, we developed our own algorithm
33 to process and align multiple raw images as a solution to this problem. Averaging and denoising routines in our algorithm
33 effectively removed background noise such that the processed images indicate signal only from the retinal glial cells. It was clear from the processed images that the most intense fluorescence was from the retinal glia within the optic disc
(Fig. 2) . When temporally examined, the FI from the transgenic saline-treated retina remained fairly stable from day 0 through day 14
(Figs. 2A 2B 2C 2D) . On the contrary, the FI from the transgenic KA-treated retina showed a gradual increase of 24% (
P = 0.014) at day 3
(Fig. 2F)and a maximum peak of 31% (
P = 0.046) at day 7
(Fig. 2G) , when
P values were obtained using the Friedman nonparametric comparison on repeated FI measures. FI quantification (
n = 5) for all time points was shown in
Figure 3 . The validity of our in vivo retinal imaging method was established by applying it to an OT mouse model known to cause retinal gliosis.
Figure 4shows a representative response of the OT eye, in which the FI peaks at day 7 and tapers back to normal by day 14. The quantified FI (
n = 4) in
Figure 5confirms this observation, by which an increase of as much as 27% (
P = 0.046) was shown on day 7. Conversely, the control eye is fairly constant for all three time points.