title: Automated single-cell motility analysis on a chip using lensfree microscopy.
abstract: Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery. Such studies are typically performed by controlling environmental conditions around a lens-based microscope, requiring costly instruments while still remaining limited in field-of-view. Here we present a compact cell monitoring platform utilizing a wide-field (24 mm(2)) lensless holographic microscope that enables automated single-cell tracking of large populations that is compatible with a standard laboratory incubator. We used this platform to track NIH 3T3 cells on polyacrylamide gels over 20 hrs. We report that, over an order of magnitude of stiffness values, collagen IV surfaces lead to enhanced motility compared to fibronectin, in agreement with biological uses of these structural proteins. The increased throughput associated with lensfree on-chip imaging enables higher statistical significance in observed cell behavior and may facilitate rapid screening of drugs and genes that affect cell motility.
authors.affiliation: Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Ivan
authors.initials: I
authors.lastname: Pushkarsky
authors.forename: Yunbo
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Yunbo
authors.initials: Y
authors.lastname: Lyb
authors.affiliation: Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Westbrook
authors.initials: W
authors.lastname: Weaver
authors.affiliation: Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Ting-Wei
authors.initials: TW
authors.lastname: Su
authors.affiliation: Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Onur
authors.initials: O
authors.lastname: Mudanyali
authors.affiliation: 1] Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America [2] Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America [3] California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Aydogan
authors.initials: A
authors.lastname: Ozcan
authors.affiliation: 1] Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America [2] California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America [3] Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Dino
authors.initials: D
authors.lastname: Di Carlo
mesh_terms: D000818:Animals; D055592:Biophysical Phenomena; D002465:Cell Movement / Q000235:genetics*; D058948:Cell Tracking; D006696:Holography; D051379:Mice; D008853:Microscopy; D041681:NIH 3T3 Cells; D059010:Single-Cell Analysis
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