Andrew Kim

CrystalEyes v0.9.0

Older version of CrystalEyes. Spent much of summer working on this but decided to move onto v1.0.0. v0.9.0 directly reads media files (.png, .jpg, etc.) but can't parse LDF files. It also was meant to use Tesseract-OCR, which is a lot slower than just extracting the data from the .LDF file.

woodsonscioly.org

Official website for the Woodson Science Olympiad team! (the best SciOly team) Made using TypeScript + React

CrytsalEyes v1.0.0

Did you know researchers are able to freeze organs through cryopreservation? That's right - with today's technology, scientists can preserve human tissue and organs at sufficiently low temperatures. The only problem is that when the organs are being thawed back, additional ice crystal growth - known as ice recrystallization - occurs, damaging the tissue. A number of researchers are trying to develop ice recrystallization inhibition (IRI) technologies. The purpose of the CyrstalEyes software is to aid their efforts by providing a tool that measures the size and density of ice crystals. Determining the efficacy of IRI antifreeze proteins requires analyzing the shape and size of microscopic ice growth, which, through traditional analysis, requires hours of manual labor. Imagine drawing thousands of contours with your hand. That's what my mentor first had to do, but as her intern, I developed this software that can automatically extract features from microscope images. I'm using Python and a machine learning library called Cellpose to create my app. Feel free to try it out! (It's still in beta though.)

This was widely regarded as a great move by everyone.