Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.

Bibliographic Details
Main Author: A., Disi
Other Authors: George Barbastathis.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/87954
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author A., Disi
author2 George Barbastathis.
author_facet George Barbastathis.
A., Disi
author_sort A., Disi
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
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spelling mit-1721.1/879542019-04-11T10:33:40Z Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate A., Disi George Barbastathis. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 91-95). TFT (Thin-film transistor) - LCD (Liquid-crystal display) is now widely used by the display industry for the reason that LCD is compact and light with very low power consumption; moreover, it has little or no flicker and no geometric distortion. However, small defects from the bottom layers could grow after the deposition process and result in defective panels. Such tiny objects on the scale of ~102 nm are too small for modem cameras to directly image and generally requires (scanning) microscopy during industrial inspection process, which unfortunately leads to a tremendous cost. This thesis investigates a holographic imaging approach combined with a compressive signal reconstruction framework to automatically locate such small defects from FDTD simulation results. Holography records the electric field from a sparse distribution of particle scattering; compressive sensing retrieves a clean signal from the original measured signal corrupted by shot noise and other system noise with a sparsity prior and auto-parameter tuning based on signal characteristics. Strong denoising parameter reduces false alarms and increases miss detection at the same time. The compressive framework is followed by a defect candidate selection process which helps to eliminate false alarms while preserving the desired signal by comparing the compressive reconstruction result to the direct signal back-propagation estimate. Auto-parameter tuning finds the compressive (denoising) parameter according to the strength of noise present in the direct measurement. The accuracy and reliability of using this method to localize cylindrical defects on the scale of 102 nm is studied. This method is able to accurately cover detection of most cylindrical defects of different sizes under 0.2 sec exposure time per field of view. The accuracy is compromised for extremely small defects on a similar size scale to a cylindrical defect of 100 nm in diameter and 100 nm in height. by Disi A. S.M. 2014-06-13T22:36:04Z 2014-06-13T22:36:04Z 2014 2014 Thesis http://hdl.handle.net/1721.1/87954 880675780 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 95 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
A., Disi
Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title_full Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title_fullStr Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title_full_unstemmed Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title_short Numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
title_sort numerical simulations of the forward problem and compressive digital holographic reconstruction of weak scatterers on a planar substrate
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/87954
work_keys_str_mv AT adisi numericalsimulationsoftheforwardproblemandcompressivedigitalholographicreconstructionofweakscatterersonaplanarsubstrate