Spherical harmonics texture extraction for versatile analysis of biological objects.

ABSTRACT: The characterization of phenotypes in cells or organisms from microscopy data largely depends on differences in the spatial distribution of image intensity. Multiple methods exist for quantifying the intensity distribution - or image texture - across objects in natural images. However, many of these texture extraction methods do not directly adapt to 3D microscopy data. Here, we present Spherical Texture extraction, which measures the variance in intensity per angular wavelength by calculating the Spherical Harmonics or Fourier power spectrum of a spherical or circular projection of the angular mean intensity of the object. This method provides a 20-value characterization that quantifies the scale of features in the spherical projection of the intensity distribution, giving a different sig

SUBMITTER: Gros O 

PROVIDER: S-EPMC11798461 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature