schlierenimaging
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: MedicalImagingLabFHSWF
- License: mit
- Language: MATLAB
- Default Branch: main
- Homepage: https://www.fh-swf.de/de/forschung___transfer_4/labore_3/labs/labor_fuer_medizinische_bildgebung/labor_fuer_medizinische_bildgebung_1.php
- Size: 987 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SchlierenImaging
Laboratory for Medical Imaging and Experimental Radiology at FH SWF
Welcome to the Laboratory for Medical Imaging and Experimental Radiology at South Westphalian University of Applied Sciences! Our organization is dedicated to advancing the field of medical imaging through innovative research and experimentation.
Overview
The repository contains code and supplementary material for an experimental Schlieren imaging setup that visualizes High-Intensity Focused Ultrasound (HIFU) in real-time enabling the user to display, observe and analyze the sound field. In addition, the repository includes code for image analysis, specifically for analyzing the shift of the focal point of the HIFU beam if an acoustic lens is used in the setup. The code is written in MATLAB and is designed to be easily customizable and adaptable to different experimental setups.
Supplementary Material
The repository also includes supplementary material such as construction files for 3D-printed mounts and housings used in the setup. These files are intended to be used as a reference for constructing the experimental setup and can be modified as needed.
Getting Started
To get started, you will need a Raspberry Pi with its camera module and a Schlieren imaging setup. Once you have obtained the necessary equipment, you can clone the repository and use the provided code to acquire and analyze images of the HIFU beam in real-time.
Contributions
Contributions to the repository are welcome and encouraged. If you have suggestions for improving the code or the experimental setup, please feel free to submit a pull request or open an issue.
License
This repository is licensed under the MIT License. Feel free to use our code and data for your own research projects, but please give credit to our organization if you do. Please see the LICENSE file for more information.
Thank you for your interest in the Laboratory for Medical Imaging and Experimental Radiology at FHSF! We look forward to working with you.
Owner
- Name: MedicalImagingLabFHSWF
- Login: MedicalImagingLabFHSWF
- Kind: organization
- Location: Germany
- Repositories: 1
- Profile: https://github.com/MedicalImagingLabFHSWF
Laboratory for Medical Imaging and Experimental Radiology conducting research in a variety of areas related to medical imaging.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Schlieren Imaging
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Lennart
family-names: Bedarf
affiliation: ' South Westphalian University of Applied Sciences'
- affiliation: ' South Westphalian University of Applied Sciences'
given-names: 'Andreas '
family-names: Holl
- given-names: Helena
family-names: Nawrath
email: nawrath.helena@fh-swf.de
affiliation: ' South Westphalian University of Applied Sciences'
repository-code: 'https://github.com/MedicalImagingLabFHSWF/SchlierenImaging'
abstract: >-
The repository contains code and supplementary material
for an experimental Schlieren imaging setup that
visualizes High-Intensity Focused Ultrasound (HIFU) in
real-time enabling the user to display, observe and
analyze the sound field. In addition, the repository
includes code for image analysis.
license: MIT
commit: 582e58f
version: '0.1'