For example, I used to work with depth data a lot, which is best expressed as monochrome 16-bit floating point images. Previously, TIFF was the only format that supported this. Many shops would instead save depth images as UINT16 .PNG files, where the raw pixel intensity maps to the camera distance in mm. The problem with this is that pixels more than 65.535 meters away aren't representable. (Hot take: I personally think this is one reason why nobody studies depth estimation for outdoor scenes.)
JPEG-XL supports more weird combinations here, e.g. storing greyscale float32 images (with alpha even! you can store sparse depth maps without needing a separate mask!)
It's like, uniquely suited to these sorts of 3D scene understanding challenges and I really hope people adopt the format for more scientific applications.