Inspection
Inspection techniques for studying in vivo organisms depend on the nature of the subject and the parameters being evaluated, which can range from chemical and morphological to behavioral characteristics. Traditionally, these inspections were performed manually by researchers, but with advancements in technology, they have increasingly become automated.
Techniques such as active vision, deep neural networks, fluorescence imaging, 3D vision, and hyperspectral analysis have significantly enhanced sensitivity, accuracy, and efficiency in these assessments
Automating these methods allows for higher throughput, minimizing human error, and overcoming challenges in assays that are difficult for laboratory technicians to perform manually, such as precisely quantifying movement or subtle morphological changes. This shift towards automation has opened up new possibilities for more consistent and reliable analysis in biomedical research.
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