  Sessile drying droplets manifest distinct morphological patterns,
encompassing diverse systems viz., DNA, proteins, blood, and protein-liquid
crystal (LC) complexes. This study employs an integrated methodology that
combines drying droplet, image texture analysis (features from First Order
Statistics, Gray Level Co-occurrence Matrix, Gray Level Run Length Matrix, Gray
Level Size Zone Matrix, and Gray Level Dependence Matrix), and statistical data
analysis (Generalized Additive Modeling and K-means clustering). It provides a
comprehensive qualitative and quantitative exploration by examining LC-protein
droplets at varying initial phosphate buffered concentrations (0x, 0.25x, 0.5x,
0.75x, and 1x) during the drying process under optical microscopy with crossed
polarizing configuration. Notably, it unveils distinct LC-protein textures
across three drying stages: initial, middle, and final. The Generalized
Additive Modeling (GAM) reveals that all the features significantly contribute
to differentiating LC-protein droplets. Integrating the K-means clustering
method with GAM analysis elucidates how textures evolve through the three
drying stages compared to the entire drying process. Notably, the final drying
stage stands out with well-defined, non-overlapping clusters, supporting the
visual observations of unique LC textures. Furthermore, this paper contributes
valuable insights, showcasing the efficacy of drying droplets as a rapid and
straightforward tool for characterizing and classifying dynamic LC textures.
