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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM33620

MORPHOFORGE ADVANCING CLASSIFICATION USING DEVELOPMENTAL EMBROYO’S

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM33620

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Shreya SB

TK

Tejaswini KJ

V

Vedika

VA

Vinutha AS

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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.

Cite This Article

Shreya SB, Tejaswini KJ, Vedika, Vinutha AS, "MORPHOFORGE ADVANCING CLASSIFICATION USING DEVELOPMENTAL EMBROYO’S," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

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Publication Date

12/31/45422

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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