title: On-chip cytometry using plasmonic nanoparticle enhanced lensfree holography.
abstract: Computational microscopy tools, in particular lensfree on-chip imaging, provide a large field-of-view along with a long depth-of-field, which makes it feasible to rapidly analyze large volumes of specimen using a compact and light-weight on-chip imaging architecture. To bring molecular specificity to this high-throughput platform, here we demonstrate the use of plasmon-resonant metallic nanoparticles to automatically recognize different cell types based on their plasmon-enhanced lensfree holograms, detected and reconstructed over a large field-of-view of e.g., ~24 mm².
authors.affiliation: Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA.
authors.forename: Qingshan
authors.initials: Q
authors.lastname: Wei
authors.forename: Euan
authors.initials: E
authors.lastname: McLeod
authors.forename: Hangfei
authors.initials: H
authors.lastname: Qi
authors.forename: Zhe
authors.initials: Z
authors.lastname: Wan
authors.forename: Ren
authors.initials: R
authors.lastname: Sun
authors.forename: Aydogan
authors.initials: A
authors.lastname: Ozcan
mesh_terms: D004867:Equipment Design; D019544:Equipment Failure Analysis; D005434:Flow Cytometry / Q000295:instrumentation*; D006696:Holography / Q000295:instrumentation*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation*; D007909:Lenses; D008853:Microscopy / Q000295:instrumentation*; D053758:Nanoparticles / Q000737:chemistry; D020349:Surface Plasmon Resonance / Q000295:instrumentation*