In this article, we observed the presence and absence of scale bars in clinical images, review the problem faced due to the non-availability of scale bars, and discuss possible solutions. For example, if a researcher wants to study and compare the size of lesions of ringworm found in different body sites or patients from different geographical areas, it would be impossible from the clinical images available online without a scale bar on the figure. If the gross clinical images do not have a scale with the picture, it becomes almost impossible to compare any lesion present on a clinical image with other images. Although there are some limitations of the smartphone in producing a high-quality image for clinical usage, its proper use regarding the distance from the object, focusing on the object, appropriate lighting, optimum background, proper angle, and object stability can improve the quality of the photograph. For capturing images, the majority of clinicians use their smartphones as a replacement for digital cameras. For an author, it is of utmost importance to capture and use the clinical images in a case report or other types of manuscripts. It is also important for any future legal purposes. For a clinician, it is important to keep the pre-treatment images to compare them with post-treatment images. Available from: Ĭlinical imaging is an inseparable part of dermatological research and publication. Current status of using scale bar on clinical images and methods to insert it.
#Insert scale bar imagej how to#
How to cite this URL: Mondal H, Mondal S. How to cite this article: Mondal H, Mondal S. Keywords: Clinical images, dermatology, dermoscopy, ImageJ, scale bar, teledermatology This article would help dermatologists to think about incorporating a scale bar in the image for the progress of science. With this background, in this article, we provided three methods for capturing and processing clinical images with scale. We audited recent issues of three widely circulated Indian dermatology journals and found that among 345 clinical images, 2.61% had a scale with the unit. However, the presence of a scale bar in those images is required for measuring the lesion from an image. The rich collection of clinical images in medical journals may help in formulating machine learning programs in the future or facilitate image-based meta-analysis. Clinical images are of utmost importance for the majority of dermatological research and publications.
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