Stefano Di Talia
· Professor of Cell BiologyDuke University · Genetics and Genomics
Active 1988–2026
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About
Stefano Di Talia is a Professor of Cell Biology and also holds a position in Orthopaedic Surgery at Duke University School of Medicine. He is an affiliate of the Duke Regeneration Center and is involved in the Program in Cell and Molecular Biology, as well as the Developmental & Stem Cell Biology Program and the University Program in Genetics and Genomics. His research focuses on cell biology, developmental biology, and regenerative processes, contributing to the understanding of cellular mechanisms and their implications in health and disease.
Research topics
- Biology
- Computer Science
- Genetics
- Anatomy
- Cell biology
- Artificial Intelligence
- Mechanical engineering
- Nanotechnology
- Cognitive science
- Algorithm
Selected publications
Control of osteoblast regeneration by a train of Erk activity waves
Nature · 2021 · 205 citations
Senior authorCorrespondingReconstruction and deconstruction of human somitogenesis in vitro
Nature · 2022 · 116 citations
Developmental Cell · 2020 · 87 citations
Senior authorCorrespondingRoadmap for the multiscale coupling of biochemical and mechanical signals during development
Physical Biology · 2020 · 68 citations
The way in which interactions between mechanics and biochemistry lead to the emergence of complex cell and tissue organization is an old question that has recently attracted renewed interest from biologists, physicists, mathematicians and computer scientists. Rapid advances in optical physics, microscopy and computational image analysis have greatly enhanced our ability to observe and quantify spatiotemporal patterns of signalling, force generation, deformation, and flow in living cells and tiss…
Development · 2022 · 23 citations
The efficient extraction of image data from curved tissue sheets embedded in volumetric imaging data remains a serious and unsolved problem in quantitative studies of embryogenesis. Here, we present DeepProjection (DP), a trainable projection algorithm based on deep learning. This algorithm is trained on user-generated training data to locally classify 3D stack content, and to rapidly and robustly predict binary masks containing the target content, e.g. tissue boundaries, while masking highly fl…
Recent grants
Mechanisms and developmental functions of cytoplasmic flows in early embryogenesis
NIH · $1.1M · 2021–2025
LIVE IMAGING OF BONE REGENERATION IN ZEBRAFISH
NIH · $3.5M · 2020–2030
NIH · $97k · 2014
Frequent coauthors
- 65 shared
Kenneth D. Poss
Duke Medical Center
- 40 shared
Massimo Vergassola
Sorbonne Université
- 30 shared
Alessandro De Simone
University of Geneva
- 28 shared
Eric Wieschaus
Princeton University
- 28 shared
Alberto Puliafito
University of Turin
- 26 shared
Victoria E. Deneke
Research Institute of Molecular Pathology
- 23 shared
Ben D. Cox
- 23 shared
Yitong Xu
Peking University
Education
- 2008
PhD
The Rockefeller University
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