Quantifying Size and Movement of Metal Organic Frameworks Using Computer Vision
CSEF · 2023 Computational Systems & Analysis Honorable_mention Award
Overview
This project, “Quantifying Size And Movement of Metal Organic Frameworks Using Computer Vision,” explores various computer vision techniques to quantify the size and movement of Metal Organic Framework (MOF) clumps by processing videos of MOFs recorded under a fluorescent microscope. Different thresholding techniques to separate pixels of MOF clumps from the background were experimented with. A two-step static thresholding process is identified and shown to be very effective in identifying pixels of MOF clumps, as the brightness of imaging data captured by the fluorescent microscope varies in the observation time period. Standard OpenCV techniques to find contours were used to identify the boundaries of MOF clumps and calculate their sizes in pixels. The scale bar in the imaging data is identified by its fixed location and unique geometric shape, and the size information is extracted from the scale bar for use in converting the size of MOF clumps in pixels to its real world, physical size. OpenCV’s Optical Flow was further experimented on with the original video in the form of extracted contours, convex hulls, and bounding boxes. Optical Flow was also shown to be effective in identifying MOF clump movement in the original video. Further work areas are identified to improve the robustness of the computer vision techniques and calibrate the result from computer vision techniques against other methods of measurement.
Source coverage
This record comes from a published award list, not a complete project archive. Its abstract comes from CSEF's public project showcase as archived by the Internet Archive before judging (https://web.archive.org/web/20230401224130/https://ca-csef.zfairs.com/showcase/ShowcaseInfo?f=838e60b7-ea75-46e8-865c-fde4864244b3); the version presented may differ.
Awards (1)
- Category Award: HM
Competition history
- CSEF 2023
Resources
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Source: California Science & Engineering Fair public projects