Automated image processing algorithm for 3D OCT images of fouling in spacer-filled membrane filtration channels.

ABSTRACT: OCT imaging is an important technique to study fouling in spacer-filled channels of reverse osmosis systems for seawater desalination. However, OCT imaging of membrane filtration channels with feed spacers is challenging because the spacer material can be (partly) transparent, making it difficult to detect and possibly mistaken for fouling, and the longer optical pathway through the spacer material distorts the image below the spacer. This study presents an automated 3D OCT image processing method in MATLAB for visualization and quantification of biofouling in spacer-filled channels. First, a spacer template of arbitrary size and rotation was generated from a CT scan of the feed spacer. Second, background noise and file size were reduced by representing the OCT image with a list of discret

SUBMITTER: Huisman KT 

PROVIDER: S-EPMC11327942 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature