☰

Christina Amon - Publications

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Mechanical Engineering, Electronics and Electrical Engineering, Condensed Matter Physics
Tree Info Similar researchers PubMed Report error

5 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2011 Bakhru S, Nain AS, Highley C, Wang J, Campbell P, Amon C, Zappe S. Direct and cell signaling-based, geometry-induced neuronal differentiation of neural stem cells. Integrative Biology : Quantitative Biosciences From Nano to Macro. 3: 1207-14. PMID 22057544 DOI: 10.1039/C1Ib00098E  0.637
2011 Ker ED, Nain AS, Weiss LE, Wang J, Suhan J, Amon CH, Campbell PG. Bioprinting of growth factors onto aligned sub-micron fibrous scaffolds for simultaneous control of cell differentiation and alignment. Biomaterials. 32: 8097-107. PMID 21820736 DOI: 10.1016/J.Biomaterials.2011.07.025  0.656
2010 Nain AS, Filiz S, Ozdoganlar OB, Sitti M, Amon C. Note: Aligned deposition and modal characterization of micron and submicron poly(methyl methacyrlate) fiber cantilevers. The Review of Scientific Instruments. 81: 016102. PMID 20113133 DOI: 10.1063/1.3253563  0.635
2009 Nain AS, Sitti M, Jacobson A, Kowalewski T, Amon C. Dry Spinning Based Spinneret Based Tunable Engineered Parameters (STEP) Technique for Controlled and Aligned Deposition of Polymeric Nanofibers. Macromolecular Rapid Communications. 30: 1406-12. PMID 21638398 DOI: 10.1002/Marc.200900204  0.657
2008 Nain AS, Phillippi JA, Sitti M, Mackrell J, Campbell PG, Amon C. Control of cell behavior by aligned micro/nanofibrous biomaterial scaffolds fabricated by spinneret-based tunable engineered parameters (STEP) technique. Small (Weinheim An Der Bergstrasse, Germany). 4: 1153-9. PMID 18651720 DOI: 10.1002/Smll.200800101  0.563
Show low-probability matches.