Image processing rules
I'm ahead of the curve. I've been teaching about image processing in biology for around 12 years now, and I've always told my students that there are some important rules about what you can ethically do to a scientific image. Nature has a short article on the subject this week, and they mention essentially the same rules—and I've been pushing the same stringencies in my classes.
Few journals have explicit policies, and of those that do, The Journal of Cell Biology has the most stringent guidelines. These allow alterations that are applied equally across an entire image, such as changes to contrast or brightness. They also permit some other corrections, such as adjusting the brightness of pixels in a certain range of colours — but only if details of the adjustment are spelled out. Changes to selected parts of an image, such as brightening one cell in an entire field or scrubbing out an ugly blemish, are prohibited.
They also cite an excellent article from the Journal of Cell Biology that spells out all the rules, which I'll definitely be handing out in my lab courses in the future. Just to summarize them briefly, though, here's what I consider important:
- Always archive the original image data. Only work on a copy.
- All enhancements must be global. You aren't allowed to select a region of the image and modify it alone, all operations must be applied equally to the whole image.
- The paintbrush, eraser, clone stamp, and other painting tools are absolutely forbidden.
- Document everything: optical settings on the microscope, scale, any modifications made.
- Don't copy and paste bits and pieces of images together to create composites that never existed. Photomontages of mult-field images are OK as long as it is clear how the pieces were spliced together.
The JCB article also gets into an odd argument about linear vs. nonlinear operation on pixel intensities that I don't find very important. It's fooling ourselves to think that optical properties are perfectly linear, that camera technologies are linear, or that printing output will be linear—we know they are not. I don't see a simple brightness adjustment using a constant as more virtuous than a histogram equalization. But their bottom line is not to oppose non-linear manipulations, but to insist on full disclosure, and I'm all for that.
Pearson H (2005) Image manipulation: CSI: cell biology. Nature 434:952-953.
Rossner M, Yamada KM (2004) What's in a picture? The temptation of image manipulation. J Cell Biol 166(1):11-15.


Good point about linearity. It is not as though photographic film has a linear density response to illumination, and most of the existing literature used this technology. Even in the middle of their density range, most phographic emulsions have logarithmic density functions. And tube-based video cameras are not a lot better. Among the common detectors, photodiodes, photomultipliers, CMOS and CCD sensors all offer reasonably linear responses.
Never mind, as you say, the gamma functions of offset printing or different displays.
I would emphasize, though, that CCD sensors really do have almost uncannily linear responses when used properly. As Ken Spring points out, CCDs are more linear than most of the devices that can be used to measure their linearity. Truly a remarkable technology. And this behavior is one of the major reasons that scientists love CCD cameras.