MORPHOFORGE ADVANCING CLASSIFICATION USING DEVELOPMENTAL EMBROYO’S

MORPHOFORGE ADVANCING CLASSIFICATION USING DEVELOPMENTAL EMBROYO’S

Shreya SB, Tejaswini KJ, Vedika ,Vinutha AS

Student (BE) Dept. of ISE EWIT, Bangalore

Abstract-- Embryonic development, a meticulously orchestrated process governed by complex molecular signals, cellular behaviors, and tissue morphologies, is crucial for unraveling fundamental life principles and informing fields such as regenerative medicine and developmental disorders. Enter Morpho Forge, a sophisticated software tool specifically designed for segmenting, tracking, and visualizing cells and tissues within developing embryos. Its intuitive interface and powerful algorithms enable researchers to extract quantitative measurements and spatial-temporal dynamics from 4D imaging data with unprecedented accuracy and efficiency. Key to Morpho Forge is its ability to segment individual cells or tissues within the embryo and track their movements and interactions over time, allowing for the study of dynamic cellular behaviors like division, migration, and differentiation. Through analyzing these datasets, Morpho Forge facilitates identifying key factors and signaling pathways regulating tissue and organ formation.Overall, Morpho Forge represents a significant advancement in developmental biology, offering researchers unprecedented insights into the mechanisms driving morphogenesis, pushing classification boundaries, and paving the way for discoveries in the dynamic world of embryonic development, regenerative medicine, and evolutionary biology.

Keywords- Morphoforge, Classification, Developmental embryos, Morphological features, Machine learning, Embryonic development, Image analysis, Morphometric analysis, Pattern recognition, Taxonomy, Evolutionary biology, Computational biology, Species identification, Artificial intelligence, Data mining.