Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators

Judith Su

Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We used frequency locked microtoroid optical resonators to detect attomolar concentrations of Alzheimer’s biomarkers. In addition, we present methods to improve the sensitivity and selectivity these sensors.

Original language	English (US)
Title of host publication	Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019
Publisher	OSA - The Optical Society
ISBN (Electronic)	9781557528209
State	Published - 2019
Event	Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019 - Burlingame, United States Duration: Jul 29 2019 → …

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F131-IPRSN 2019

Conference

Conference	Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019
Country/Territory	United States
City	Burlingame
Period	7/29/19 → …

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators. / Su, Judith.

Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019. OSA - The Optical Society, 2019. (Optics InfoBase Conference Papers; Vol. Part F131-IPRSN 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Su, J 2019, Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators. in Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019. Optics InfoBase Conference Papers, vol. Part F131-IPRSN 2019, OSA - The Optical Society, Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019, Burlingame, United States, 7/29/19.

@inproceedings{d8da78d2d9a54f61866ad04d176d7eed,

title = "Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators",

abstract = "We used frequency locked microtoroid optical resonators to detect attomolar concentrations of Alzheimer{\textquoteright}s biomarkers. In addition, we present methods to improve the sensitivity and selectivity these sensors.",

author = "Judith Su",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s).; Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019 ; Conference date: 29-07-2019",

year = "2019",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "OSA - The Optical Society",

booktitle = "Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019",

}

TY - GEN

T1 - Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators

AU - Su, Judith

PY - 2019

Y1 - 2019

N2 - We used frequency locked microtoroid optical resonators to detect attomolar concentrations of Alzheimer’s biomarkers. In addition, we present methods to improve the sensitivity and selectivity these sensors.

AB - We used frequency locked microtoroid optical resonators to detect attomolar concentrations of Alzheimer’s biomarkers. In addition, we present methods to improve the sensitivity and selectivity these sensors.

UR - http://www.scopus.com/inward/record.url?scp=85077183981&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85077183981&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85077183981

T3 - Optics InfoBase Conference Papers

BT - Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019

PB - OSA - The Optical Society

T2 - Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019

Y2 - 29 July 2019

ER -

Ultra-sensitive and selective biomolecular detection using frequency-locked microtoroid optical resonators

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this