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https://github.com/lauraluebbert/confocal_z-stack_analysis

Imaging experiments in Biology often involve the acquisition of confocal z-stack images to quantify fluorescent signal in a biological sample. These z-stacks are usually analyzed using open-source programs such as FIJI, which are notoriously frustrating to work with, and do not facility intuitive high-throughput analysis of many images at once. Manual image analysis is labor-intensive, time-consuming, and prone to human error. I compiled two notebooks to streamline two of the most commonly performed tasks in the analysis of confocal z-stack images: the generation of "pretty" maximum projections, and the analysis of pixel values/ fluorescence from sum projections.
https://github.com/lauraluebbert/confocal_z-stack_analysis

confocal-images confocal-microscopy confocal-zstack-images despeckle image-processing maximum-projection scalebar scikit-image

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Imaging experiments in Biology often involve the acquisition of confocal z-stack images to quantify fluorescent signal in a biological sample. These z-stacks are usually analyzed using open-source programs such as FIJI, which are notoriously frustrating to work with, and do not facility intuitive high-throughput analysis of many images at once. Manual image analysis is labor-intensive, time-consuming, and prone to human error. I compiled two notebooks to streamline two of the most commonly performed tasks in the analysis of confocal z-stack images: the generation of "pretty" maximum projections, and the analysis of pixel values/ fluorescence from sum projections.

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