Diss. (sammanfattning) Uppsala : Univ., 2004. / Härtill 4 uppsatser.

Thesis (Ph.D.). / Written for the Dept. of Electrical & Computer Engineering. Title from title page of PDF (viewed 2008/01/12). Includes bibliographical references.

Thesis (Ph.D.) - University of Glasgow, 2008. / Ph.D. thesis submitted to the Faculty of Information and Mathematical Sciences, Department of Statistics, University of Glasgow, 2008. Includes bibliographical references. Print version also available.

Thesis (M.A.) -- University of Texas Southwestern Medical Center at Dallas, 2005. / Vita. Bibliography: 96-97.

Thesis (M.A.) -- University of Texas Southwestern Medical Center at Dallas, 2003. / Vita. Bibliography: 42-43.

Thesis (M.S.)--University of Alabama at Birmingham, 2010. / Title from PDF title page (viewed on June 25, 2010). Includes bibliographical references (p. 29-31).

Thesis (Ph.D.) -- University of Texas Southwestern Medical Center at Dallas, 2005. / Embargoed. Vita. Bibliography: 91-96.

O objetivo deste estudo foi demonstrar a precisão e a acurácia de medidas maxilofaciais lineares e angulares obtidas por tomografia computadorizada por feixe cônico (TCFC). A amostra consistiu de quinze crânios humanos secos submetidos à TCFC. Medidas lineares e angulares foram realizadas em imagens em terceira dimensão (3D) após a identificação de pontos craniométricos convencionais. As imagens em 3D-TCFC foram analisadas por dois radiologistas, duas vezes, independentemente. Medidas físicas foram realizadas por um terceiro examinador utilizando paquímetro e goniômetro digitais. Os resultados não demonstraram diferenças estatísticas significantes para as análises intra e interexaminadores. As comparações entre as medidas físicas e as obtidas em 3D-TCFC para ambos os examinadores também não foram estatisticamente significantes tanto para as medidas lineares quanto paras as angulares (p= 0,968 e 0,915, p= 0,844 e 0,700, respectivamente). As imagens em 3D-TCFC podem ser utilizadas com precisão e acurácia para a obtenção de medidas lineares e angulares a partir de estruturas anatômicas e pontos craniométricos. / The purpose of this research was to provide further evidence to demonstrate the precision and accuracy of maxillofacial linear and angular measurements obtained by cone-beam computed tomography (CBCT) images. The study population consisted of 15 dry human skulls that were submitted to a CBCT, and threedimensional (3D) images were generated. Linear and angular measurements based upon conventional craniometric anatomical landmarks, were identified in 3D-CBCT images by two radiologists twice each independently. Subsequently physical measurements were made by a third examiner using a digital caliper and a digital goniometer. The results demonstrated no statistically significant difference between inter and intra-examiner analysis. Regarding accuracy test, no statistically significant difference were found of the comparison between the physical and CBCT-based linear and angular for both examiners (p= 0.968 and 0.915, p= 0.844 and 0.700 respectively). 3D-CBCT images can be used to obtain dimensionally accurate linear and angular measurements from bony maxillofacial structures and landmarks.

Previous research into microbial colonies and biofilms shows a significant gap in our current understanding of how bacterial structures develop. Despite the huge body of research undertaken into the formation, genetic makeup, composition, and optimal growth conditions of colonies, no study has been successful in identifying all individual bacteria in a colony in three-dimensions as a function of time. This lack of bacterial cell lineage in such a simple class of organisms is conspicuous in the light of what is known about other organisms, such as Caenorhabditis elegans [1]. In this thesis I show that using laser scanning confocal microscopy in conjunction with developments in sample preparation and post acquisition image analysis, it is possible to fully reconstruct all individual bacteria within an Escherichia coli (E. coli ) microcolony grown in viscoelastic media. Additionally, I show that by further pushing the resolution of confocal microscopes, commercial systems are capable of extracting three-dimensional information on protein structures inside bacteria at early stages of growth. This thesis is in three parts. The first part shows that by pushing the resolution of a commercial laser scanning confocal microscope system it is possible to achieve single cell resolution of a bacterial colony growing in three dimensions in a viscoelastic medium (agarose) from a seed bacterium. The growth of individual bacteria is examined as the concentration of agarose in the media is altered. Results show there is a nonlinear dependence between the rate of growth of a bacterium and the concentration of the agarose in the media with a peak in growth rate at 3% (weight) concentrations of agarose in M9 media. The second part of this work presents a study of how an initially two-dimensional colony growing between a glass slide and agarose gel suddenly invades the third spatial dimension by buckling. The results show that the cells within the centre of the colony flex and buckle, due to confinement by their neighbours, creating additional layers. Indeed, flexing is not limited to the buckling event but occurs throughout the early growth cycle of a colony. The final part of this thesis shows that by further pushing the resolution of confocal microscopes, commercial systems are capable of extracting three-dimensional information about the temporal evolution of the spatial distribution of the FtsZ septation ring within the cell. As the bacterial colony grows from a seed bacterium to a microcolony, the error in placing the division accurately at the cell centre is seen to increase as the number of bacteria within the colony increases and spatial confinement occurs.

Compressive sampling enables signal reconstruction using less than one measurement per reconstructed signal value. Compressive measurement is particularly useful in generating multidimensional images from lower dimensional data. We demonstrate single frame 3D tomography from 2D holographic data. / Dissertation