Page 326 - Fundamentals of Light Microscopy and Electronic Imaging
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RECORD KEEPING DURING IMAGE ACQUISITION AND PROCESSING        309

                       THE NEED FOR IMAGE PROCESSING

                       Although our goal is to standardize image-processing operations, our experience tells us
                       that image processing is an invaluable agent in scientific discovery. Video-enhanced
                       contrast imaging of microtubules and minute cellular structures, and contrast manipula-
                       tions to medical X rays and astronomical images are all examples. Here, it is very clear
                       that nothing can be seen without substantial adjustments to the original image. Further,
                       two important technological advances in electronic microscope imaging—video
                       enhancement of image contrast and confocal microscopy—profoundly changed the way
                       scientists regarded microscope images. These technologies are entirely dependent on
                       electronic detectors, and both require extensive electronic adjustments and follow-up
                       computer processing. The images and knowledge gained from these technologies are
                       impressive. Nevertheless, for the typical microscope image our approach to processing
                       and image display usually needs to be more conservative.
                          We would be remiss if we did not emphasize an obvious point. If processing is
                       done to enhance the visibility of important image features that cannot otherwise be
                       seen to good advantage, then it is appropriate and acceptable. This is no different from
                       any other scientific data. Naturally, if you have only one picture showing some piece of
                       information, then it is not wise to trust it. But if the same feature shows up repeatedly,
                       then you consider it trustworthy even if it is difficult to see. In such situations, image
                       processing might be the only way to display image details and describe an observation
                       to others.


                       VARYING PROCESSING STANDARDS

                       Images used as data in scientific publications are distinct from the cover images of sci-
                       entific journals or the enhanced images used to highlight scientific presentations. These
                       two categories of images are both important, but serve different purposes and are pre-
                       pared using different standards. Ideally, figures of scientific merit must represent a spec-
                       imen objectively and completely. The fundamental tenet of scientific publishing—that
                       the reader should be able to repeat observations based on the details given in the arti-
                       cle—should be the goal. Images on journal covers serve a different purpose. Here the
                       rules are relaxed, and artistic manipulation of the image may be important to emphasize
                       a particular feature, although the cover legend should acknowledge this point. Experi-
                       ence in image processing suggests it is best to act conservatively. You will have the con-
                       fidence that you have prepared an objective record based on defined parameters for
                       acquisition and processing.


                       RECORD KEEPING DURING IMAGE ACQUISITION
                       AND PROCESSING

                       Good image processing begins with keeping good records.

                        • Save raw and processed image files separately. Before processing an image, make
                          a copy of the original raw image and save the processed image as a separate file.
                          When preparing figures for publication, keep notes about the processing steps
                          applied to each image. Try to standardize your operations so that images are treated
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