Computer vision for genomics

Initial focus · Computer vision for genomics

Inspired by research into how geometric architectures and Fibonacci-ordered dynamics can protect quantum information, we are investigating whether geometry derived from Fibonacci Pisano periods can improve the computational efficiency of hyperspectral image analysis for genomics.

A measurable first step

Our proposed approach explores equilateral triangular meshes and tetrahedral models, comparing computational cost, processing speed and accuracy against established methods.

The initial biological application is to investigate spectral patterns potentially associated with OXTR gene expression, evaluated against independent molecular measurements.

Source data

• Hyperspectral Imaging · complete chapter and source register
• Hyperspectral source register JSON
• Hyperspectral source register CSV

Sources

• index.html · SHA-256 6cbae89b23cafe5c3df2c4a856593ce7227ee43f5d355bae176f7d545588561d · HTML with generated Atlas narrative blocks removed