Our university has added another achievement that generates added value in the field of Health Technologies to its scientific studies in Artificial Intelligence.

As part of the project titled “Development of Novel Deep Learning Approaches for Generating Optimally Focused Images and 3D Shapes in Microscopic Systems,” conducted by our university’s Drug and Pharmaceutical Technology Application & Research Center (Ä°LAFAR), an AI-powered software has been developed to address the problem of focusing on a single point when examining tissues and cells under a microscope.

Ä°LAFAR Innovative Artificial Intelligence Research Group and Laboratory Established Four Years Ago

Prof. Dr. Feride Sena Sezen, Director of Ä°LAFAR, one of Türkiye’s leading preclinical drug research centers, stated that they have been developing and continuing the project, which they initiated two years ago in collaboration with Trabzon University and The Ohio State University. Prof. Dr. Sezen noted that achieving automatic focusing and determining the depth of focus in situations where microscopes are used at various stages, including drug development, clinical processes, and making important decisions related to diseases, is a significant challenge, and stated that they aimed to address this problem.

A Significant Convenience to Be Provided

Emphasizing that they had succeeded in achieving proper focusing and obtaining clear images with microscopes, Prof. Dr. Sezen said in her statement regarding the significant development, “With our study, we developed software that performs this process at a very advanced level and can bring the entire field into focus, and we have put it into practice.” Prof. Dr. Sezen underscored that the AI-powered software would provide significant convenience, particularly in the healthcare sector.

Software Continues to Be Developed

Prof. Dr. Sena Sezen stated that they established the Innovative Artificial Intelligence Applications Research Group approximately four years ago and began developing projects two years ago. She added that they continue to develop software to facilitate the processing of images in preclinical drug research, as well as the better processing and interpretation of data obtained from laboratory animals and cells in laboratory settings.

A New Method and a Comprehensive Dataset from Our University to the Scientific Community

Assoc. Prof. Dr. Hülya DoÄŸan, Head of the Ä°LAFAR Innovative Artificial Intelligence Applications Research Group, stated that the study not only presents a new method but also provides an extensive archive of microscopic images that will enable other researchers around the world to conduct research in this field. In her statement, Assoc. Prof. Dr. DoÄŸan said:

“This innovative method will make a significant contribution to many critical areas of health and life sciences, ranging from digital pathology and cancer diagnosis to in vitro fertilization treatments and embryo selection processes, from pharmacological tests conducted for drug discovery to complex neuroscience and cell research. By eliminating the blurring problem encountered in microscopic examinations without disrupting the original tissue structure, the method will reduce the workload of specialists and bring the margin of error in automated diagnostic systems down to zero.”

Making the dataset openly accessible to the world will enhance Karadeniz Technical University’s (KTU) international scientific visibility and reputation while also paving the way for new academic collaborations and joint projects on a global scale.

 

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