Quantification of whispering gallery mode spectrum variability in application to sensing nanobiophotonics

Abstract. An approach for the automated whispering gallery mode (WGM) signal decomposition and its parameter estimation is discussed. The algorithm is based on the peak picking and can be applied for the preprocessing of the raw signal acquired from the multiplied WGM-based biosensing chips. Quantitative estimations representing physically meaningful parameters of the external disturbing factors on the WGM spectral shape are the output values. Derived parameters can be directly applied to the further deep qualitative and quantitative interpretations of the sensed disturbing factors. The algorithm is tested on both simulated and experimental data taken from the bovine serum albumin biosensing task. The proposed solution is expected to be a useful contribution to the preprocessing phase of the complete data analysis engine and is expected to push the WGM technology toward the real-live sensing nanobiophotonics.

[1]  T. Kippenberg,et al.  Cavity Optomechanics: Back-Action at the Mesoscale , 2008, Science.

[2]  Stephen C. Rand,et al.  Fusion of Renewable Ring Resonator Lasers and Ultrafast Laser Inscribed Photonic Waveguides , 2016, Scientific Reports.

[3]  Florian Sedlmeir,et al.  Identifying modes of large whispering-gallery mode resonators from the spectrum and emission pattern. , 2014, Optics express.

[4]  Andreas Ostendorf,et al.  Whispering gallery mode pressure sensing , 2012, Photonics Europe.

[5]  M. Chekhova,et al.  A versatile source of single photons for quantum information processing , 2012, Nature Communications.

[6]  T. Weigel,et al.  Microresonator array for high-resolution spectroscopy. , 2007 .

[7]  Rajan P Kulkarni,et al.  Label-Free, Single-Molecule Detection with Optical Microcavities , 2007, Science.

[8]  Dieter Braun,et al.  Protein detection by optical shift of a resonant microcavity , 2002 .

[9]  Matthew R Foreman,et al.  Whispering gallery mode sensors. , 2015, Advances in optics and photonics.

[10]  Andreas Ostendorf,et al.  Simultaneous real-time application and direct comparison of optical resonance sensing and fluorescence tagging techniques for biochemical component detection , 2017, Optical Metrology.

[11]  D. Keng,et al.  Whispering gallery micro-global positioning system for nanoparticle sizing in real time , 2014 .

[12]  Andreas Ostendorf,et al.  Temperature sensing by using whispering gallery modes with hollow core fibers , 2010 .

[13]  Andreas Ostendorf,et al.  Array sensor: plasmonic improved optical resonance methods and instrument for biomedical diagnostics , 2015, European Conference on Biomedical Optics.

[14]  C Koos,et al.  All-polymer photonic sensing platform based on whispering-gallery mode microgoblet lasers. , 2015, Lab on a chip.

[15]  Mehmet Bayindir,et al.  Real-Time and Selective Detection of Single Nucleotide DNA Mutations Using Surface Engineered Microtoroids. , 2015, Analytical chemistry.

[16]  Alexandre François,et al.  Optical Sensors Based on Whispering Gallery Modes in Fluorescent Microbeads: Size Dependence and Influence of Substrate , 2009, Sensors.

[17]  Christian Schneider,et al.  On-chip light detection using monolithically integrated quantum dot micropillars , 2016 .

[18]  Frank Vollmer,et al.  Optical observation of single atomic ions interacting with plasmonic nanorods in aqueous solution , 2016, Nature Photonics.

[19]  T. Kippenberg,et al.  Microresonator-Based Optical Frequency Combs , 2011, Science.

[20]  S. Arnold,et al.  Whispering-gallery-mode biosensing: label-free detection down to single molecules , 2008, Nature Methods.

[21]  Simone Schleede,et al.  Direct laser writing for active and passive high-Q polymer microdisks on silicon. , 2011, Optics express.

[22]  Judith Su,et al.  Label-Free Biological and Chemical Sensing Using Whispering Gallery Mode Optical Resonators: Past, Present, and Future , 2017, Sensors.

[23]  Hervé Carfantan,et al.  Time-invariant orthonormal wavelet representations , 1996, IEEE Trans. Signal Process..

[24]  Kerry J. Vahala,et al.  Fabrication and coupling to planar high-Q silica disk microcavities , 2003 .

[25]  T. J. Kippenberg,et al.  Ultra-high-Q toroid microcavity on a chip , 2003, Nature.

[26]  Hans-Peter Loock,et al.  Resonators: Direct Sensing in Liquids Using Whispering-Gallery-Mode Droplet Resonators (Advanced Optical Materials 12/2014) , 2014 .

[27]  Matthew R Foreman,et al.  Single-molecule nucleic acid interactions monitored on a label-free microcavity biosensor platform. , 2014, Nature nanotechnology.

[28]  M. Artemyev,et al.  Effect of a dielectric substrate on whispering-gallery-mode sensors , 2006 .

[29]  Yves-Alain Peter,et al.  Real-Time Detection of Staphylococcus Aureus Using Whispering Gallery Mode Optical Microdisks , 2016, Biosensors.

[30]  Yuliya Semenova,et al.  Magnetic field sensing using whispering-gallery modes in a cylindrical microresonator infiltrated with ferronematic liquid crystal. , 2017, Optics express.

[31]  Christian Junge,et al.  Nonlinear π phase shift for single fibre-guided photons interacting with a single resonator-enhanced atom , 2014, Nature Photonics.