NP-SAM is an easy-to-use segmentation and analysis tool for nanoparticles and more.
Project description
NP-SAM
Introduction
In this project we propose an easily implementable workflow for a fast, accurate and seamless experience of segmentation of nanoparticles.
The project's experience could be significantly enhanced with the presence of a CUDA-compatible device; alternatively, Google Colab can be utilized if such a device is not accessible. For a quick access to the program and a CUDA-GPU try our Google Colab notebook.
Get started
In the working directory and NPSAM environment execute jupyter lab in the terminal. This will launch jupyterlab.
Citation
@article{NPSAM,
author = {Larsen, Rasmus and Villadsen, Torben L. and Mathiesen, Jette K. and Jensen, Kirsten M. Ø and Bøjesen, Espen D.},
title = {NP-SAM: Implementing the Segment Anything Model for Easy Nanoparticle Segmentation in Electron Microscopy Images},
journal = {ChemRxiv},
DOI = {10.26434/chemrxiv-2023-k73qz-v2},
year = {2023},
type = {Journal Article}
}
Acknowledgment
This repo benefits from Meta's Segment Anything and FastSAM. Thanks for their great work.
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