Custom Python Applications in Neuroscience
summary
A small 3D medical image viewer is created in 24 lines of code by composing Python with pyqtgraph for fast interactive slicing and contrast changes, proves usable to visually review ~400 patients with three timepoint scans each, and a pydicom-based pipeline sorts and de‑identifies messy DICOM dumps into meaningful folders. Lightweight scripts monitor 30 remote machines for uptime and disk space and send daily email alerts, and all tools are reported as working in production.
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