Dr. Kiemen's research focuses on development of novel computational approaches for understanding the microanatomy of pancreatic cancer. Her group has developed CODA, a technique for 3D reconstruction of large tissues at single cell resolution that is capable of integrating molecular and genetic information. Her interests lie in spatially mapping the anatomical, immune, and genetic profiles of pancreatic cancer precursor lesions and pancreatic cancer invasion patterns at local and distant sites. Using CODA, her group is also exploring 3D microanatomy in tissues including the heart, lungs, kidney, and fallopian tubes.
Technology Expertise Keywords
image processing; artificial intelligence; digital pathology; pancreatic cancer
A.L. Kiemen, A. Braxton, M. Grahn, K. Han, J. Babu, F. Amoa, S.M. Hong, T. Cornish, E. Thompson, L. Wood, R. Hruban, P.H. Wu & D. Wirtz. (2022). “CODA: a method for 3D reconstruction of large, serially sectioned tissues.” Nature Methods 19(11), 1490-1499
A.L. Kiemen*, Y. Choi*, A. Braxton, C. Pérez, S. Graham, M. Grahn, N. Nand, N. Roberts, L. Wood, P.H. Wu, R. Hruban, D. Wirtz (2022) “Intraparenchymal Metastases as a Cause for Local Recurrence of Pancreatic Cancer.” Histopathology. 82(3), 504-506.(*co-first authors)
A.L. Kiemen*, A. Damanakis*, A. Braxton*, J. He, D. Laheru, E. Fishman, P. Chames, C. Perez, P.H. Wu, D. Wirtz, L. Wood, R. Hruban. (2022) Visualizing tissues in three dimensions provides novel insights into the biology and clinical behavior pancreatic cancer: Tissue clearing and 3D reconstruction of digitized serially sectioned slides. Med. (*co-first authors)