TESTING 33
Original Figure 14: Filters applied with Mountains.
The size of the cutoff filter was tried on various 3D KP images, between 1 mm and 3mm. The 2mm was chosen because it was the most appropriate balance between too much details and too much information removed (Fig 11). Moreover, the threshold parameter was evaluated between 10% and 20%. In the example (Fig 12) it appears that threshold 10% is too low to select an accurate number of KP whereas threshold 15% and 20% are more appropriate. We finally chose 15% because some KP can merge in the 20% selection (see yellow circle). Regarding the parameter “minimum size” , 0.2mm² and 0.3mm2
of KP, we tried 0.1mm2 as it is a balanced selection. .
The differences were quite low between the 3 “minimum size” tested, we finally selected the 0.2mm2
Mountains software set up We applied the same principle and parameters than for AEVA system. An illustration of original acquisition and final filtered picture is given in Figure 14, these schematic illustrations show that it could be possible to extract the same parameters as with the AEVA software.
KP Density/cm2
45 40 35 30 25 20 15 10 5
5 10 15 20 Correlation AEVA vs. Moutains
Mean Sd
Min Max
Table 2: Quantification with AEVA. Surface Surface (mm2 1.1
0.9 0.2 5.8
AEVA and Mountains results The quantification of KP with fringes projection and AEVA software has allowed the analysis of 1736 KP lesions with an average density of 6.6 ± 1.5 KP/cm2
. In
order to give a better understandable result, the number of KP contained in a 1€ coin would be on average 26. The average results obtained from 1736 KP lesions are reported in Table 2. Our data indicated that the amplitude of values could be important from one KP to another one. However, we observed that most of the KP have the same features and this could be explained by the preliminary selection of volunteers with similar features. The quantification of KP with Mountains software led to similar results. The average
R2 = 0.8863
6.00 5.50 5.00 4.50 4.00 3.50 3.00 2.50
25 30 35 40 45 2.50 3.00 3.50 4.00
) Perimeter (mm) 4.5
1.7 1.9
14.6
Volume (mm3 0.021
0.033 0.001 0.328
)
Thickness (µm) 32
28 2
226
density for the 63 sites is 6.5 KP/cm2 average surface is 1.3 mm2
, average
perimeter is 4.2 mm, average volume is 0.022 mm3
, average maximum thickness is
27 µm. A correlation between two methods is given in Figures 15 (density) and 16 (perimeter). The calculation of R2 correlation coefficient shows a very high correlation between both methods with R2 = 0.89 for density and R2 = 0.78 for perimeter.
Product evaluation Using the AEVA system for calculation and the Mountains system for illustration, we performed the evaluation of a cream containing a Salinicoccus hispanicus lysate filtrate versus a placebo. The lysate
KP perimeter (mm) Correlation AEVA vs. Moutains ,
Roughness
Waviness
Filtered objects
R2
= 0.7825
4.50
5.00
5.50
6.00
Figure 15 and 16: Correlation AEVA vs. Mountains. March 2020 PERSONAL CARE NORTH AMERICA
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