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Dive into the research topics where Joseph L. Ponsetto is active.

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Featured researches published by Joseph L. Ponsetto.


Nano Letters | 2014

Wide field super-resolution surface imaging through plasmonic structured illumination microscopy.

Feifei Wei; Dylan Lu; Hao Shen; Weiwei Wan; Joseph L. Ponsetto; Eric Huang; Zhaowei Liu

We experimentally demonstrate a wide field surface plasmon (SP) assisted super-resolution imaging technique, plasmonic structured illumination microscopy (PSIM), by combining tunable SP interference (SPI) with structured illumination microscopy (SIM). By replacing the laser interference fringes in conventional SIM with SPI patterns, PSIM exhibits greatly enhanced resolving power thanks to the unique properties of SP waves. This PSIM technique is a wide field, surface super-resolution imaging technique with potential applications in the field of high-speed biomedical imaging.


optical fiber communication conference | 2012

Demonstration of 40 GHz analog-to-digital conversion using copy-and-sample-all parametric processing

Andreas O. J. Wiberg; Zhi Tong; Lan Liu; Joseph L. Ponsetto; Vahid Ataie; Evgeny Myslivets; Nikola Alic; Stojan Radic

We present the result of an optical analog-to-digital conversion front-end based on the copy-and sample-all principle for the first time. The new architecture uses self-seeded multicasting and polychromatic sampling. Operation at 40 GHz and 6 ENOBs is experimentally demonstrated.


Nanoscale | 2014

Correction: Localized plasmon assisted structured illumination microscopy for wide-field high-speed dispersion-independent super resolution imaging

Joseph L. Ponsetto; Feifei Wei; Zhaowei Liu

A new super resolution imaging method, i.e. Localized Plasmon assisted Structured Illumination Microscopy (LPSIM), is proposed. LPSIM uses an array of localized plasmonic antennas to provide dynamically tunable near-field excitations resulting in finely structured illumination patterns, independent of any propagating surface plasmon dispersion limitations. The illumination pattern feature sizes are limited only by the antenna geometry, and a far-field image resolved far beyond the diffraction limit is obtained. This approach maintains a wide field of view and the capacity for a high frame-rate. The recovered images for various classes of objects are presented, demonstrating a significant resolution improvement over existing methods.


ACS Nano | 2017

Experimental Demonstration of Localized Plasmonic Structured Illumination Microscopy

Joseph L. Ponsetto; Anna Bezryadina; Feifei Wei; Keisuke Onishi; Hao Shen; Eric Huang; Lorenzo Ferrari; Qian Ma; Yimin Zou; Zhaowei Liu

Super-resolution imaging methods such as structured illumination microscopy and others have offered various compromises between resolution, imaging speed, and biocompatibility. Here we experimentally demonstrate a physical mechanism for super-resolution that offers advantages over existing technologies. Using finely structured, resonant, and controllable near-field excitation from localized surface plasmons in a planar nanoantenna array, we achieve wide-field surface imaging with resolution down to 75 nm while maintaining reasonable speed and compatibility with biological specimens.


Optics Express | 2015

Numerical study of hyperlenses for three-dimensional imaging and lithography

Weiwei Wan; Joseph L. Ponsetto; Zhaowei Liu

The development of nanostructured metamaterials and the ability to engineer material dispersion has led to impressive advances in the diverse field of nanophotonics. Of interest to many is the enhanced ability to control, illuminate, and image with light on subwavelength scales. In this letter, we numerically demonstrate a hyperlens with unprecedented radial-resolution at 5 nm scale for both imaging and lithography applications. Both processes are shown to have accuracy that surpasses the Abbe diffraction limit in the radial direction, which has potential applications for 3D imaging and lithography. Design optimization is discussed with regards to several important hyperlens parameters.


conference on lasers and electro optics | 2012

Demonstration of parallel polychromatic sampling based analog-to-digital conversion at 8 GS/s

Andreas O. J. Wiberg; Zhi Tong; Lan Liu; Joseph L. Ponsetto; Vahid Ataie; Evgeny Myslivets; Nikola Alic; Stojan Radic

A scalable photonic sampled analog-to-digital conversion (ADC) is presented utilizing four-wave mixing processes to multicast and sample a signal. By expanding the architecture to multiple parallel gates, the effective sampling rate is increased.


Proceedings of SPIE | 2014

Localized plasmon assisted structured illumination microscopy (presentation video)

Joseph L. Ponsetto; Feifei Wei; Zhaowei Liu

We present a new super resolution imaging method, Localized Plasmon assisted Structured Illumination Microscopy (LPSIM). Using an array of localized plasmonic antennas, LPSIM provides dynamically tunable near-field excitations which result in finely structured illumination patterns, independent of any propagating surface plasmon dispersion limitations. Antenna geometry alone limits the illumination pattern feature sizes, enabling the collection of a far-field image resolved far beyond the diffraction limit. This approach allows a wide field of view and the capacity for a high frame-rate. Recovered images for various classes of objects are presented, demonstrating significant resolution improvement over existing methods.


Nanoscale | 2017

Localized plasmonic structured illumination microscopy with an optically trapped microlens

Anna Bezryadina; Jinxing Li; Junxiang Zhao; Alefia Kothambawala; Joseph L. Ponsetto; Eric Huang; Joseph Wang; Zhaowei Liu


conference on lasers and electro optics | 2017

High-speed super-resolution microscopy for biological imaging

Anna Bezryadina; Junxiang Zhao; Joseph L. Ponsetto; Yang Xia; Xiang Zhang; Zhaowei Liu


Ntm | 2017

Localized Plasmonic Microscopy for High-resolution Biological Imaging

Anna Bezryadina; Junxiang Zhao; Joseph L. Ponsetto; Yang Xia; Xiang Zhang; Zhaowei Liu

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Zhaowei Liu

University of California

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Feifei Wei

University of California

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Eric Huang

University of California

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Junxiang Zhao

University of California

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Lan Liu

University of California

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Nikola Alic

University of California

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Stojan Radic

University of California

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