Week 2 and 3 My second week largely involved further familiarizing myself with the lab, its members, and the cellular analytic work I was tasked with. I continued my work with the image processing of brain slices to highlight the contrast between cell bodies and the “background noise” (while maintaining the original pixel data of image). This was in hopes that we could use some sort of automated way to count all the cells. Although quantifying the relative intensity of the pixels of cells was a somewhat viable method to “count” the cells, the ultimate goal was to actually count the cells. I took a stab at counting the cells in one brain slice – 1181 red cells and 381 green cells – definitely not fun and this only motivated me further to find an alternative method. After some research, I then turned my attention towards a machine-learning program called Trainable Weka Segmentation. By “training” the program to identify cells, specifically where they start/end, the program co...