Image handling optimization in scientific applications involves memory management, processing speed, and efficient workflows. Techniques include image caching, batch processing, asynchronous tasks with asyncio, using Image.thumbnail() for memory efficiency, and leveraging NumPy for faster pixel operations. Selecting suitable image formats impacts performance.