DEVELOPMENT OF PHASE RETRIEVAL TECHNIQUES IN DISPLACEMENT AND DISPLACEMENT DERIVATIVES MEASUREMENT

Ph.DDOCTOR OF PHILOSOPH

Single-shot pop-out 3D metrology of thin specimens with TEM

Three-dimensional (3D) imaging of thin, extended specimens at nanometer resolution is critical for applications in biology, materials science, advanced synthesis, and manufacturing. Many 3D imaging techniques are limited to surface features, or available only for selective cross-sections, or require a tilt series of a local region, hence making them unsuitable for rapid, non-sacrificial screening of extended objects, or investigating fast dynamics. Here we describe a coherent imaging technique that recovers the 3D volume of a thin specimen with only a single, non-tomographic, energy-filtered, bright-field transmission electron microscopy (TEM) image. This technique does not require physically fracturing or sectioning thin specimens, only needs a single brief exposures to electron doses of ~100 e {\AA}-2, and can be readily calibrated for many existing TEMs; thus it can be widely deployed for rapid 3D metrology that complements existing forms of metrology.Comment: 33 pages, 14 figure

ReCoDe: A Data Reduction and Compression Description for High Throughput Time-Resolved Electron Microscopy

Fast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexible data reduction and compression scheme (ReCoDe) that retains both spatial and temporal resolution by preserving individual electron events. Running ReCoDe on a workstation we demonstrate on-the-fly reduction and compression of raw data streaming off a detector at 3 GB/s, for hours of uninterrupted data collection. The output was 100-fold smaller than the raw data and saved directly onto network-attached storage drives over a 10 GbE connection. We discuss calibration techniques that support electron detection and counting (e.g. estimate electron backscattering rates, false positive rates, and data compressibility), and novel data analysis methods enabled by ReCoDe (e.g. recalibration of data post acquisition, and accurate estimation of coincidence loss).Comment: 53 pages, 20 figure

Nanoscale cuticle density variations correlate with pigmentation and color in butterfly wing scales

How pigment distribution correlates with cuticle density within a microscopic butterfly wing scale, and how both impact final reflected color remains unknown. We used ptychographic X-ray computed tomography to quantitatively determine, at nanoscale resolutions, the three-dimensional mass density of scales with pigmentation differences. By comparing cuticle densities with pigmentation and color within a scale, we determine that the lower lamina structure in all scales has the highest density and lowest pigmentation. Low pigment levels also correlate with sheet-like chitin structures as opposed to rod-like structures, and distinct density layers within the lower lamina help explain reflected color. We propose that pigments, in addition to absorbing specific wavelengths, can affect cuticle polymerization, density, and refractive index, thereby impacting reflected wavelengths that produce structural colors

Case studies on heat stress related perceptions in different industrial sectors in southern India

Linkages between thermal loads and its physiological consequences have been widely studied in non-tropical developed country settings. In many developing countries like India, despite the widespread recognition of the problem, limited attempts have been made to estimate health impacts related to occupational heat stress and fewer yet to link heat stress with potential productivity losses. This is reflected in the ubiquity of workplaces with limited or no controls to reduce exposures. As a prelude to understanding the feasibility of alternative interventions in different industrial sectors, we present case studies from 10 different industrial units in Tamil Nadu, Chennai, which describe perceptions of occupational heat stress among the workers and supervisors/management

Single-shot, coherent, pop-out 3D metrology

Abstract Three-dimensional (3D) imaging of thin, extended specimens at nanometer resolution is critical for applications in biology, materials science, advanced synthesis, and manufacturing. One route to 3D imaging is tomography, which requires a tilt series of a local region. However, capturing images at higher tilt angles is infeasible for such thin, extended specimens. Here, we explore a suitable alternative to reconstruct the 3D volume using a single, energy-filtered, bright-field coherent image. We show that when our specimen is homogeneous and amorphous, simultaneously inferring local depth and thickness for 3D imaging is possible in the near-field limit. We demonstrated this technique with a transmission electron microscope to fill a glaring gap for rapid, accessible 3D nanometrology. This technique is applicable, in general, to any coherent bright field imaging with electrons, photons, or any other wavelike particles

Nanoscale cuticle density variations correlate with pigmentation and color in butterfly wing scales

<p>Custom code for X-ray ptycho tomo 3D reconstruction volumetric data analysis and Optical modelling. The package contains Jupyter Notebooks (IPython) for estimating nano-scale densities of sub-structures of butterfly-wing scales and for thin-film interference modelling to fit experimental reflectance spectrum data. Please read the method section of the manuscript for a more detailed description of the computational scheme. The readme file contains descriptions to install and execute the package.</p&gt

Preventing the Capillary-Induced Collapse of Vertical Nanostructures

Robust processes to fabricate densely packed high-aspect-ratio (HAR) vertical semiconductor nanostructures are important for applications in microelectronics, energy storage and conversion. One of the main challenges in manufacturing these nanostructures is pattern collapse, which is the damage induced by capillary forces from numerous solution-based processes used during their fabrication. Here, using an array of vertical silicon (Si) nanopillars as test structures, we demonstrate that pattern collapse can be greatly reduced by a solution-phase deposition method to coat the nanopillars with self-assembled monolayers (SAMs). As the main cause for pattern collapse is strong adhesion between the nanopillars, we systematically evaluated SAMs with different surface energy components and identified H-bonding between the surfaces to have the largest contribution to the adhesion. The advantage of the solution-phase deposition method is that it can be implemented before any drying step, which causes patterns to collapse. Moreover, after drying, these SAMs can be easily removed using a gentle air-plasma treatment right before the next fabrication step, leaving a clean nanopillar surface behind. Therefore, our approach provides a facile and effective method to prevent the drying-induced pattern collapse in micro- and nanofabrication processes