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*Corresponding authors’ E-mail : ved.verma@niu.edu.in, Orcid Id : 0000-0002-2596-2578
The field of entomology has witnessed significant advancements in digital imaging techniques that facilitate detailed morphological studies of insects. This chapter explores recent advancements in digital imaging techniques that have revolutionized the study of insect morphology. By integrating high-resolution imaging, 3D reconstruction, and machine learning algorithms, researchers can now analyze insect structures with unprecedented precision and efficiency. Insect morphology provides critical insights into evolutionary biology, ecology, and taxonomy. Traditional imaging methods, such as light microscopy, often fall short in capturing fine details and complex structures. Recent advancements in digital imaging technologies have emerged as game-changers, enabling detailed morphological studies that were previously unattainable.
3D reconstruction, Analysis, Automation, Digital imaging, Entomology, Evolution, Fluorescence, High-resolution, High-throughput, Insects, Machine learning, Morphology, Structural analysis, Taxonomy, Techniques