Fish Blood Cell as Biological Dosimeter: In Between Measurements, Radiomics, Preprocessing, and Artificial Intelligence

Analyzing fish cell dimensions holds significant importance in biological research due to its implications for understanding fish physiology, health, and environmental interactions. This study poses a preliminary insight on the relevance of analyzing fish cell dimensions, particularly blood cells, for assessing fish health and monitoring environmental pollution. Alterations in cell size, shape, or proliferation rates can indicate physiological stress, disease conditions, or responses to environmental factors. The new Image Flow Cytometer has allowed the acquisition of thousands radiomic images of blood cell per unit of time. Advanced measurement techniques, including improved algorithms, machine learning, and convolutional neural networks (CNNs), have revolutionized morphometric analysis by enabling precise and efficient extraction of cellular measurements. Additionally, big data analytics offers opportunities to enhance cell dimension analysis by providing vast datasets for robust feature extraction and pattern recognition. Addressing measurement uncertainty and establishing ground truth are crucial for ensuring data reliability and validity. Integrating environmental and species-specific parameters into big data analyses enables comprehensive risk assessment for fish consumption. This multidisciplinary approach facilitates informed decision-making regarding fish health monitoring and environmental management strategies, ultimately contributing to human well-being and ecosystem conservation.