ABSTRACT
In this chapter, the application of imaging in the assessment of zebrafish (zf) cardiology is discussed. Medical imaging is used to expose internal structures and establish a database of normal anatomy and physiology. Through the analysis of these images, diseases and abnormalities are diagnosed and treated. Considering that the embryonic zebrafish is transparent, bright field microscopic videos could reveal the heart mechanism and could be useful for quantification of it; although microscopic imaging can be useful for adult zebrafish as well. However, alternative imaging methods used in other works will be discussed first. Later, the cardiovascular parameters that can be measured using imaging will be defined. We will then compare different digital image processing and deep learning algorithms that have been employed to process or segment images from zebrafish. At the end of the chapter, challenges in mutant variants of zf will be investigated.
