Author

S. Rajasekar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

A. Liu· 2 shared A. Sotra· 2 shared B. Zhang· 2 shared A. A. Bobrov· 1 shared A. Boshart· 1 shared A. Konvalinka· 1 shared A. Mesterhazy· 1 shared A. Scott· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioengineering

A. Liu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Seagrass genomes reveal a hexaploid ancestry facilitating adaptation to the marine environment

X. Ma, S. Vanneste, J. Chang, L. Ambrosino, K. Barry, T. Bayer, A. A. Bobrov, L. Boston, J. E. Campbell, H. Chen, M. L. Chiusano, E. Dattolo, J. Grimwood, G. He, J. Jenkins, , Y. Van de Peer

This study presents chromosome-level genome assemblies of seagrass species and identifies ancient and recent genome duplication events linked to adaptation to marine environments.

bioRxiv · Mar 5, 2023 · PreprintEvolutionary Biology

AngioPlate - Biofabrication of perfusable complex tissues in multi-well plates with 4D subtractive manufacturing

S. Rajasekar, D. S. Y. Lin, F. Zhang, A. Sotra, A. Boshart, S. Clotet-Freixas, A. Liu, J. A. Hirota, S. Ogawa, A. Konvalinka, B. Zhang

The paper introduces a 4D subtractive manufacturing technique to create perfusable complex tissues in multi-well plates, enabling the fabrication of vascular networks and organ-specific structures.

bioRxiv · Aug 13, 2021 · PreprintBioengineering

Deep-LUMEN Assay - Human lung epithelial spheroid classification from brightfield images using deep learning

L. Abdul, S. Rajasekar, D. S.Y. Lin, S. Venkatasubramania Raja, A. Sotra, Y. Feng, A. Liu, B. Zhang

The paper introduces Deep-LUMEN, a deep learning algorithm for classifying lung epithelial spheroids from brightfield images, and validates its ability to detect morphological changes in response to drug treatments.

bioRxiv · Oct 7, 2020Bioengineering