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Add link to analysis script to documentation
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doc/start_page.md

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@@ -105,6 +105,8 @@ For more options supported by the IMOD exports, please run `synapse_net.export_t
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## Python Library
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Using the `synapse_net` python library offers the most flexibility for using the SynapseNet functionality.
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You can find an example analysis pipeline implemented with SynapseNet [here](https://github.com/computational-cell-analytics/synapse-net/blob/main/examples/analysis_pipeline.py).
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We offer different functionality for segmenting and analyzing synapses in electron microscopy:
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- `synapse_net.inference` for segmenting synaptic structures with [our models](segmentation-models).
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- `synapse_net.distance_measurements` for measuring distances between segmented objects.

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