Dev

README.md

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 ## Links to Google Colab notebooks for important workflows using the software
 
-- The ```load_data.ipynb``` notebook shows briefly steps to download programmatically the sample data used for analysis in the following notebooks. It specifically used ```curl``` to download the data from publicly published website links. This notebook can be opened in Colab here. <a href="https://colab.research.google.com/github/plaque2/PyPlaque/blob/master/notebooks/load_data.ipynb)" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
+- The ```load_data.ipynb``` notebook shows briefly steps to download programmatically the sample data used for analysis in the following notebooks. It specifically used ```curl``` to download the data from publicly published website links. This notebook can be opened in Colab here. <a href="https://colab.research.google.com/github/plaque2/PyPlaque/blob/master/notebooks/load_data.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 
 - The ```synth.ipynb``` notebook in PyPlaque generates synthetic shapes at random locations (that are seeded for reproducibility) to emulate segmentation masks. These simulated images are wrapped in standard PyPlaque classes like ```FluorescenceMicroscopy``` that treats each image of consisting of synthetic shapes as a fluorescence plate well, enabling seamless integration with the package's analysis and visualization pipelines. This allows us to compare image analysis algorithms' area and perimeter calculations on standard known shapes without relying on real irregular shapes where the true measurements could be ambiguous. This notebook can be tried in Colab here. <a href="https://colab.research.google.com/github/plaque2/PyPlaque/blob/master/notebooks/synthetic_data/synth.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 

setup.py

@@ -13,7 +13,7 @@
 # Get the long description from the README file
 long_description = (cwd / 'README.md').read_text(encoding='utf-8')
 
-version = 'v0.2.3'
+version = 'v0.2.4'
 
 setup(
   name = 'PyPlaque',