A key good practice point is the need always to keep the original image data safe, and this is the first step in maintaining data integrity. Medical image processing, whether being applied in clinical practice or used in a research study, is a scientific topic and so the aim is to obtain and report the results in the usual scientific way. It is necessary for the practitioner or researcher working with medical images to be familiar with local ethical practice. One of the drivers behind automation of image analysis is to exclude the subjectivity associated with the human observer. Subjective image enhancement may, of course, be used to adjust the display of an image for personal preference, providing that no changes based on these settings are made to the stored data, and no further analysis is made on this personalized display. The results of medical image processing are sometimes visualized using the colors red and green.