update graphical abstract

MannLabs · May 30, 2024 · d17e4d8 · d17e4d8
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 [![Python package](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/MannLabs/SPARCSspatial/actions/workflows/python-package.yml) [![Python package](https://img.shields.io/badge/license-MIT-blue)](https://github.com/MannLabs/SPARCSspatial/actions/workflows/python-package.yml)
 [![website](https://img.shields.io/website?url=https%3A%2F%2Fmannlabs.github.io/SPARCSpy/html/index.html)](https://mannlabs.github.io/SPARCSpy/html/index.html)
 
-![graphical_abstract](https://github.com/MannLabs/SPARCSspatial/assets/15019107/760366d8-47fc-4499-956b-0049aef09a1c)
+![Graphical Abstract](https://github.com/MannLabs/SPARCSspatial/assets/15019107/47461f35-3dec-4aa6-ba51-ee1b631ddab9)
 
 SPARCSpy is a scalable toolkit to analyse SPARCS datasets. The python implementation efficiently segments individual cells, generates single-cell datasets and provides tools for the efficient deep learning classification of their phenotypes for downstream applications.