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Title Methods for melanin quantification on fish scales and color regression on Porgus skin using Hybrid Microscopy and Machine Learning
Author Οικονόμου, ΑΘανάσιος
Thesis advisor Τσιρώνης, Γεώργιος
Reviewer Ζαχαράκης, Γιάννης
Παυλίδης, Μιχαήλ
Abstract Fishes display sophisticated skin chromatic properties that are of considerable ecological, physiological and behavioural importance. From behavioral regulations, to crypsis and adaptiveness to light, color patterns play an important role to the wellbeing of fishes. Contemporary methods of studying this subject either at a microscopic or macroscopic level, have many disadvantages and drawbacks. In this work, combining three disciplines, Physics, Computer Science and Biology, we propose novel procedures that measure and analyse the chromatic properties of fish skin, either at a microscopic or macroscopic level. Using a hybrid photoacoustic and fluorescence configuration we were able to create a method to quantify melanin concentration on a fish scales. Hybrid microscopy’s advantages are clearly demonstrated in our results. The complementarity of such a configuration creates datasets with information properly separated and easy to work with. Furthermore, photoacoustic microscopy in particular, gives us quantified information due to the fact that each signal on an image is proportional to the melanin concentration. Using Machine Learning and image processing algorithms we were able to analyse the quantified results and prove statistical important, intra class, differences. A Convolutional Neural Network was created in order to automatically distinguish an input to its respective class, opening a road to further investigations on the subject. Finally, on a macroscopic level with the use of image processing and Convolutional Neural Networks, a model was created and trained that was able to robustly calculate the chromatic parameters on specific positions on a fish's body, possibly replacing the use of a colorimeter, the go to instrument when it comes to color measurements. Every model and method that is demonstrated here, is fully automated hoping to create useful and valuable tools for biologists studying the respective fields.
Language English
Issue date 2021-07-28
Collection   School/Department--School of Sciences and Engineering--Department of Physics--Graduate theses
  Type of Work--Graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/2/2/4/metadata-dlib-1625571472-690667-9151.tkl Bookmark and Share
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