{ "cells": [ { "cell_type": "markdown", "id": "optimum-syndication", "metadata": {}, "source": [ "# Shape Analysis of Cancer Cells" ] }, { "cell_type": "markdown", "id": "formed-symphony", "metadata": {}, "source": [ "Lead author: Nina Miolane.\n", "\n", "This notebook studies *Osteosarcoma* (bone cancer) cells and the impact of drug treatment on their *morphological shapes*, by analyzing cell images obtained from fluorescence microscopy. \n", "\n", "This analysis relies on the *elastic metric between discrete curves* from Geomstats. We will study to which extent this metric can detect how the cell shape is associated with the response to treatment.\n", "\n", "This notebook is adapted from Florent Michel's submission to the [ICLR 2021 Computational Geometry and Topology challenge](https://github.com/geomstats/challenge-iclr-2021)." ] }, { "cell_type": "markdown", "id": "processed-reach", "metadata": {}, "source": [ "
\n", " | dlm8 | \n", "dunn | \n", "
---|---|---|
control | \n", "114.0 | \n", "204.0 | \n", "
cytd | \n", "82.0 | \n", "93.0 | \n", "
jasp | \n", "62.0 | \n", "95.0 | \n", "