Summary of Findings

• The best color consistency (lowest variation) was achieved by applying the custom white balance based on the 24% white patch to ambient images (Figure 3) and analyzing the chromaticity of the colors rather than raw brightness levels.
• The strobe lit images also had a great consistency (Figure 4).
• Using chromaticity instead of raw brightness levels appears to be an effective method of analyzing the colors across images even under different lighting conditions.

Purpose:

Become familiarized with established scientific chlorophyll measurement methods via homogenization of tissue and subsequent optical density wavelength readings. This data serve as the ground truth data to compare the chlorophyll measuremnts garnered from imaging based RGB pixel data.

Purpose:

The goal of this training was to provide me with the tools to build a pipeline to collect chlorophyll from image data. On this dive, we took images of Oculina off the coast of Sdot Yam. Once the images were collected, we also collected physical samples. The goal is to build an image processing pipeline that has the same results as lab chlorophyll processing techniques.

Purpose:

This protocol provides a step-by-step guide for setting up and using Git on a Mac to connect to GitHub using SSH. It is designed for lab members who need to track and share their research code, analysis, and documentation on GitHub without relying on the GitHub Desktop application. With this method, you can communicate with Github via Mac’s terminal.

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