Update README.md

README.md

@@ -5,4 +5,4 @@ deepcell/parametric-cell-shapes
 Fully synthetic cell images defined by a 10-dimensional morphometry vector, for precise resolution testing.
 
 Description:
-Parametric Cell Shapes (PCS) renders 256×256-pixel, 8-bit brightfield crops at 0.158 µm/px using truncated Fourier descriptors and Perlin noise. Each image’s outline and texture are controlled by a 10-dimensional parameter vector that adjusts deviation, roughness, axis lengths, orientation, texture scale/intensity/contrast, and ring width/intensity. Optical point-spread (ring) effects and sensor noise are matched to REM-I instrument statistics. Three one-parameter grids (shape, texture, width) with 300 random samples per level enable systematic probing of embedding resolution.
+Parametric Cell Shapes (PCS) renders 256×256-pixel, 8-bit brightfield crops at 0.158 µm/px using Fourier descriptors and Perlin noise. Each image’s outline and texture are controlled by a 10-dimensional parameter vector that adjusts deviation, roughness, axis lengths, orientation, texture scale/intensity/contrast, and ring width/intensity. Optical point-spread (ring) effects and sensor noise are matched to REM-I instrument statistics. Three one-parameter grids (shape, texture, width) with 300 random samples per level enable systematic probing of embedding resolution.