Signal Conditioning and Filtering of SELDI MS Time Series Dariya - PowerPoint PPT Presentation

Sep 24, 2023 •264 likes •426 views

Signal Conditioning and Filtering of SELDI MS Time Series Dariya Malyarenko College of William and Mary & INCOGEN, Inc. new data familiar problems known techniques SELDI Profiling: Sources of Error S ij D S ij 100 m LONG WAY! Signal

Signal Conditioning and Filtering of SELDI MS Time Series Dariya Malyarenko College of William and Mary & INCOGEN, Inc. new data familiar problems known techniques
SELDI Profiling: Sources of Error S ij D S ij 100 µ m LONG WAY!
Signal Conditioning Issues • Peak relevance: biological or artifact? - noise characterization • Peak location: which column entry? S ij - deconvolution filtering • Peak intensity: which value entry? - background removal
Baseline Correction Peak intensity in the data matrix � Baseline is predictable from RC modeling � Single shot or average data
Nonlinear Baseline Peak intensity and biological relevance � Length is proportional to the number of overload points � Single shot correction only
Baseline Ringing 0.2 Peak relevance Frequency Intensity CHIRP 0.1 2000 4000 0.0 Time Time � Damped coherent oscillation after overload � Should be subtracted after each single shot
Smoothing & Rescaling Peak relevance and intensity MH + MH 2+
Rescaling & Noise Peak relevance � Provides constant noise amplitude � Filtered noise is “colored”
Subposition De-Jittering Peak location, intensity, relevance � Subposition de-jittering during acquisition
SELDI Resolution in Time Peak size and location � σ t = const (< 12 kDa): monoisotopic target (Na) can be used in time
Shaping and Spiking Target Filter Peak location, intensity shaping W - 1 denoising W deconvolution
Deconvolution of SELDI TOF Peak location, intensity, relevance MH + +SA -H 2 O TARGET +Na -CO 2 M/z � Na & SA adducts and H 2 O, NH 4 & CO 2 (neutral loss) peaks are detected up to 9 kDa � Adduct peaks are correlated
Spiking Accuracy Peak location and size M/z, Da � Target filter preserves total intensity � Experimental filter detects peak shifts < σ t in simulated data
Conclusions: � Noise characterization and reduction: - baseline removal - detector saturation correction - SNR rescaling � Location calibration: - correlative dejittering � Resolution enhancement; - target filter deconvolution
Acknow ledgements This work was supported by Virginia’s Commonwealth Research Technology Fund #IN2002-03, and Phase I SBIR grant from the National Cancer Institute CA101479 We thank our collaborators and coauthors from EVMS, W&M and INCOGEN for assistance with acquisition and analysis of calibration data for SELDI PBSII instrument We are grateful to Dr. Stacy Moore and Dr. Scott Weinberger from Ciphergen, Inc. for their help in clarifying instrumental specifications and parameters Contact info: filter@incogen.com

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

a AMPLIFIERS FOR SIGNAL CONDITIONING I Input Offset Voltage <100V I Input Offset Voltage

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING 1 Introduction 2 Bridge Circuits I 3 Amplifiers for Signal Conditioning 4 Strain, Force, Pressure, and Flow Measurements 5 High Impedance Sensors 6 Position and Motion Sensors 7

647 views • 54 slides

a SENSOR OVERVIEW I Sensors: Convert a Signal or Stimulus (Representing a Physical Property)

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING I 1 Introduction 2 Bridge Circuits 3 Amplifiers for Signal Conditioning 4 Strain, Force, Pressure, and Flow Measurements 5 High Impedance Sensors 6 Position and Motion Sensors 7

356 views • 7 slides

a LOW POWER, LOW VOLTAGE ADC DESIGN ISSUES I Typical Supply Voltages: 5V, +5V, +5/+3V, +3V I

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING 1 Introduction 2 Bridge Circuits 3 Amplifiers for Signal Conditioning 4 Strain, Force, Pressure, and Flow Measurements 5 High Impedance Sensors 6 Position and Motion Sensors 7

407 views • 40 slides

a RESISTANCE OF POPULAR SENSORS 120 , 350 , 3500 I Strain Gages 350

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING 1 Introduction I 2 Bridge Circuits 3 Amplifiers for Signal Conditioning 4 Strain, Force, Pressure, and Flow Measurements 5 High Impedance Sensors 6 Position and Motion Sensors 7

221 views • 21 slides

a APPLICATIONS OF TEMPERATURE SENSORS I Monitoring N Portable Equipment N CPU Temperature N

674 views • 43 slides

a CONTROLLING A REMOTE ACTUATOR USING A 4-20mA LOOP CONTROL ROOM LOOP 12V TO 32V SUPPLY

663 views • 23 slides

Polynomial Methods in Time-Series Analysis . Aparicio-Prez 1 F 1 National Institute of

Introduction Matrix Polynomial Equations and Autocovariances VARMA Process Filtering and Matrix Fraction Descriptions Exact Multivariate Wiener-Kolmogorov Filtering Summary Polynomial Methods in Time-Series Analysis . Aparicio-Prez 1 F 1

1.7k views • 34 slides

Matched filtering 6.011, Spring 2018 Lec 24 1 Matched filtering for detecting known signal in

Matched filtering 6.011, Spring 2018 Lec 24 1 Matched filtering for detecting known signal in white Gaussian noise H 1 r [ n ] g [ n ] g [0] 7 LTI, h [ ] Threshold g 6 n = 0 H 0 2 Matched filter performance f ( g | H 1 )

333 views • 9 slides

a HIGH IMPEDANCE SENSORS I Photodiode Preamplifiers I Piezoelectric Sensors N Accelerometers N

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING 1 Introduction 2 Bridge Circuits 3 Amplifiers for Signal Conditioning 4 Strain, Force, Pressure, and Flow Measurements I 5 High Impedance Sensors 6 Position and Motion Sensors 7

773 views • 43 slides

a POSITION AND MOTION SENSORS I Linear Position: Linear Variable Differential Transformers (LVDT)

362 views • 24 slides

Status of the Padova DS electronics Completely redesign NIM modules Signal conditioning board

Status of the Padova DS electronics Completely redesign NIM modules Signal conditioning board ADC boards Gain jumpers Offset front panel screw Diff. Input Signal polarity 100 Msps 14 bit Offset SE Input LVDS transmitters

297 views • 4 slides

a STRAIN GAGE BASED MEASUREMENTS I Strain: Strain Gage, PiezoElectric Transducers I Force: Load

PRACTICAL DESIGN TECHNIQUES FOR SENSOR SIGNAL CONDITIONING 1 Introduction 2 Bridge Circuits 3 Amplifiers for Signal Conditioning I 4 Strain, Force, Pressure, and Flow Measurements 5 High Impedance Sensors 6 Position and Motion Sensors 7

483 views • 17 slides

Time Series Analysis and Mining with R Time Series Decomposi- tion Time Series Forecasting

R and Time Series Data Time Series Analysis and Mining with R Time Series Decomposi- tion Time Series Forecasting Yanchang Zhao Time Series Clustering Time Series RDataMining.com Classification http://www.rdatamining.com/ R Functions

1.91k views • 42 slides

Computer Graphics Texture Filtering Philipp Slusallek Sensors Measurement of signal

Computer Graphics Texture Filtering Philipp Slusallek Sensors Measurement of signal Conversion of a continuous signal to discrete samples by integrating over the sensor field Weighted with some sensor sensitivity function P R(i,j) =

246 views • 23 slides

Signal Processing Methods for Network Single Time Series Methods Anomaly Detection

Outline Introduction and Background Signal Processing Methods for Network Single Time Series Methods Anomaly Detection Spectral Analysis Lingsong Zhang Wavelet Analysis Department of Statistics and Operations

424 views • 18 slides

ELG3 1 2 5 Signal and System Analysis Lab5: Fourier series: Synthesis of signals TA: Jungang Liu

ELG3 1 2 5 Signal and System Analysis Lab5: Fourier series: Synthesis of signals TA: Jungang Liu Fall 2010 School of Information Technology and Engineering (SITE) Outline 1. Continuous-time Fourier series and its truncated version. 2.

230 views • 11 slides

Meeting Annual 2009 1 2 0 0 9 Annual Meeting Agenda I ntroduction 2 0 0 8 Perform ance

Meeting Annual 2009 1 2 0 0 9 Annual Meeting Agenda I ntroduction 2 0 0 8 Perform ance Sum m ary Strategic Priorities PNG LNG Project Update Com m ercialisation of Other Gas Oil Operations and Exploration Challenges

631 views • 46 slides

Keyport Public Schools Reopening Plan 8-5-20 Lisa M. Savoia, Ed.D. Superintendent of Schools

Keyport Public Schools Reopening Plan 8-5-20 Lisa M. Savoia, Ed.D. Superintendent of Schools Reopening Planning The Plan will address the four key subject areas: A. Conditions for Learning B. Leadership and Planning C. Policy and Funding

653 views • 26 slides

OUR COMPANY AT A GLANCE WHAT WE DO DO Vardhman n Special Steels Limited is one of Indias

OUR COMPANY AT A GLANCE WHAT WE DO DO Vardhman n Special Steels Limited is one of Indias leading steel bar producers for automotive e applications ns. Vardhman Special Steels Limited Started in 1973 Rolling Mill Bright Bar Shop Steel

424 views • 16 slides

2019-2020 Public Budget Hearing Welcoming Remarks and Agenda Mr. Rob Francin Board of

2019-2020 Public Budget Hearing Welcoming Remarks and Agenda Mr. Rob Francin Board of Education President Agenda Budget Development Process Mr. Chris Della Pietra Finance Committee Chair Financial Overview Mrs. Patricia

591 views • 28 slides

Mill Valley Middle School Facilities Report Points to Consider Provide history and current

Mill Valley Middle School Facilities Report Points to Consider Provide history and current functionality of our building Create a positive learning environment (safe, welcoming, comfortable) Maximize teaching and learning

403 views • 14 slides

Welcome Class of 2021 Topics Covered Graduation Requirements Minimum Core Curriculum

Welcome Class of 2021 Topics Covered Graduation Requirements Minimum Core Curriculum for College Bound Students Honors Diploma Requirements Required Courses for 9th graders Elective Courses for 9th graders Your

661 views • 38 slides

Year 1 6 INFORMATION NIGHT 2019 OUR STAFF Team Members Rhys Coulson and Andrew Veal

Year 1 6 INFORMATION NIGHT 2019 OUR STAFF Team Members Rhys Coulson and Andrew Veal Principal class Administration Margaret de Haas and Anna Sanos Specialist Team Kate Stacker, Lisa Clark, Joy Birrell, Dina Velona, Janine Reid and

527 views • 41 slides

Evaluating An Emergent Behaviour Algorithm for Energy Conservation in Lighting Systems Using JCSP

Evaluating An Emergent Behaviour Algorithm for Energy Conservation in Lighting Systems Using JCSP Anna Kosek Aly Syed Jon Kerridge Energy saving Beneficial for the environment Saving money Helps reducing load peaks in the power

377 views • 25 slides