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README.md

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@@ -7,7 +7,7 @@ The main function `MTM.matchTemplates` returns the best predicted locations prov
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Using pip, `pip install Multi-Template-Matching`
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Once installed, `import MTM`should work.
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# Documentaion
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# Documentation
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Check out the [jupyter notebook tutorial](https://github.com/LauLauThom/Multi-Template-Matching/blob/master/Tutorial.ipynb) for some example of how to use the package.
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The [wiki](https://github.com/LauLauThom/MultiTemplateMatching/wiki) section of this related repository also provides some information about the implementation.
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_Laurent SV Thomas, Jochen Gehrig_
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bioRxiv 619338; doi: https://doi.org/10.1101/619338
2020

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# Releases
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New github releases are automatically archived to Zenodo.
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[![DOI](https://zenodo.org/badge/197186256.svg)](https://zenodo.org/badge/latestdoi/197186256)
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# Related projects
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See this [repo](https://github.com/LauLauThom/MultiTemplateMatching) for the implementation as a Fiji plugin.
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[Here](https://nodepit.com/workflow/com.nodepit.space%2Flthomas%2Fpublic%2FMulti-Template%20Matching.knwf) for a KNIME workflow using Multi-Template-Matching.

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