Computational spectral microscopy and compressive millimeter-wave holography
| dc.contributor.advisor | Brady, David | |
| dc.contributor.author | Fernandez, Christy Ann | |
| dc.date.accessioned | 2010-05-10T19:57:42Z | |
| dc.date.available | 2010-05-10T19:57:42Z | |
| dc.date.issued | 2010 | |
| dc.department | Electrical and Computer Engineering | |
| dc.description.abstract | This dissertation describes three computational sensors. The first sensor is a scanning multi-spectral aperture-coded microscope containing a coded aperture spectrometer that is vertically scanned through a microscope intermediate image plane. The spectrometer aperture-code spatially encodes the object spectral data and nonnegative least squares inversion combined with a series of reconfigured two-dimensional (2D spatial-spectral) scanned measurements enables three-dimensional (3D) (x, y, λ) object estimation. The second sensor is a coded aperture snapshot spectral imager that employs a compressive optical architecture to record a spectrally filtered projection of a 3D object data cube onto a 2D detector array. Two nonlinear and adapted TV-minimization schemes are presented for 3D (x,y,λ) object estimation from a 2D compressed snapshot. Both sensors are interfaced to laboratory-grade microscopes and applied to fluorescence microscopy. The third sensor is a millimeter-wave holographic imaging system that is used to study the impact of 2D compressive measurement on 3D (x,y,z) data estimation. Holography is a natural compressive encoder since a 3D parabolic slice of the object band volume is recorded onto a 2D planar surface. An adapted nonlinear TV-minimization algorithm is used for 3D tomographic estimation from a 2D and a sparse 2D hologram composite. This strategy aims to reduce scan time costs associated with millimeter-wave image acquisition using a single pixel receiver. | |
| dc.format.extent | 7241173 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.subject | Engineering, Electronics and Electrical | |
| dc.subject | Engineering, System Science | |
| dc.subject | Physics, Optics | |
| dc.subject | Compressive sensing | |
| dc.subject | Holography | |
| dc.subject | Microscopy | |
| dc.subject | millimeter-wave | |
| dc.subject | optical system design | |
| dc.subject | sensor design | |
| dc.title | Computational spectral microscopy and compressive millimeter-wave holography | |
| dc.type | Dissertation |
Files
Original bundle
- Name:
- D_Fernandez_Christy_a_201005.pdf
- Size:
- 6.91 MB
- Format:
- Adobe Portable Document Format