Statistical Image Analysis of Drying Bovine Serum Albumin Droplets in Phosphate Buffered Saline
Anusuya Pal, Amalesh Gope, and Germano S. Iannacchione

TL;DR
This study analyzes the morphological patterns of drying bovine serum albumin droplets in phosphate-buffered saline using statistical image analysis techniques, revealing structural changes and phase separation phenomena relevant for bio-colloidal diagnostics.
Contribution
It introduces the use of first-order statistics and GLCM analysis to characterize structural changes in protein droplets, linking morphology to initial solution conditions.
Findings
GLCM captures structural relationships in droplet images.
Distinct bimodal distributions indicate phase separation.
Local equilibrium regions emerge in steady-state droplets.
Abstract
A bio-colloidal drying droplet can be used as a pre-diagnostic technique. However, a successful clinical setting requires a fundamental understanding of the final morphology and the way it is related to the initial state of the constituents present in the droplet. This chapter focuses on the physics associated with different pattern formations in the globular protein, bovine serum albumin (BSA) at different phosphate-buffered saline concentrations. The study reports that the first-order statistics (FOS) and the gray level co-occurrence matrix (GLCM) analysis are capable of capturing structural changes of the droplets. While the FOS of the image depends on the individual pixels, the GLCM summarizes both tonal and structural relationships between the neighboring pixels. The horizontal and the vertical orientations of the GLCM parameters show a non-significant effect when the pixel…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
