1 / 17

Module 3.1: Data Fitting

Module 3.1: Data Fitting. Wendy Tanamai & Albert Cerussi Beckman Laser Institute University of California, Irvine. Outline. How data is fit Data file summary Using the GUI . How Data is Fit. FDPM Data Data inputs phase and amplitude vs. modulation frequency

izzy
Download Presentation

Module 3.1: Data Fitting

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Module 3.1:Data Fitting Wendy Tanamai & Albert Cerussi Beckman Laser Institute University of California, Irvine

  2. Outline • How data is fit • Data file summary • Using the GUI

  3. How Data is Fit • FDPM Data • Data inputs • phase and amplitude vs. modulation frequency • sample (tissue) and reference (phantom) • Calibration for: • FDPM amplitude (ratio) • FDPM phase (difference)

  4. Raw FDPM

  5. How Data is Fit • FDPM Data (continued) • Conversion to Real & Imaginary • lsqcurvefit function in MATLAB using both real and imaginary together • Some weighted fitting options • Done for each laser diode 

  6. Processed FDPM

  7. How Data is Fit • Broadband Data • Dark count subtraction (usually done in acquisition) • Spectral calibration

  8. Spectral Calibration

  9. Spectral Calibration

  10. How Data is Fit • Broadband Data • Power Law fit to FDPM scattering • Scattering removed from broadband reflectance • FDPM absorption used to scale broadband reflectance • Solve for absorption using MATLAB ‘fzero’

  11. How Data is Fit • Physiological Fitting • Assume 4-chromophores • Non-zero least squares • Usually fit with baseline

  12. Processed Spectra

  13. Data Files (Acquired) • All files are ASCII • FDPM data has ‘dcswitch’ tag • for all modulation frequencies • one for each location • SPEC data has ‘tis’ tag • for all wavelengths • one for each location • Cal files named phantom/standard

  14. Data Files (Processed) • _dBSUM file has all processed results for both FDPM (only) and FDPM-Broadband for all spatial locations • _MUA file has broadband absorption spectra and chromophore fits for all spatial locations • _MUS file has broadband reduced scattering spectra for all spatial locations

  15. Data Files (Processed) • _dBMU file has all FDPM values for each wavelength and all spatial locations • _specR has the calibrated/scaled broadband reflectance spectra for all spatial locations • _gbfi (coming soon) quality of fit data for all fits and all spatial locations

  16. Data Files (Processed) • Other processing options • Gridimager program (Visualization) • Double differential analysis (can download) • Bound Water/Temperature analysis

  17. Using the GUI • Demo of the GUI

More Related