Micro Fourier Transform Profilometry (μ\muFTP): 3D shape measurement at 10,000 frames per second

Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy. However, due to the large number of projection patterns required for phase recovery and disambiguation, the maximum fame rates of current 3D shape measurement techniques are still limited to the range of hundreds of frames per second (fps). Here, we demonstrate a new 3D dynamic imaging technique, Micro Fourier Transform Profilometry ($\mu$FTP), which can capture 3D surfaces of transient events at up to 10,000 fps based on our newly developed high-speed fringe projection system. Compared with existing techniques, $\mu$FTP has the prominent advantage of recovering an accurate, unambiguous, and dense 3D point cloud with only two projected patterns. Furthermore, the phase information is encoded within a single high-frequency fringe image, thereby allowing motion-artifact-free reconstruction of transient events with temporal resolution of 50 microseconds. To show $\mu$FTP's broad utility, we use it to reconstruct 3D videos of 4 transient scenes: vibrating cantilevers, rotating fan blades, bullet fired from a toy gun, and balloon's explosion triggered by a flying dart, which were previously difficult or even unable to be captured with conventional approaches.Comment: This manuscript was originally submitted on 30th January 1

On the integration of deformation and relief measurement using ESPI

The combination of relief and deformation measurement is investigated for improving the accuracy of Electronic Speckle-Pattern Interferometry (ESPI) data. The nature of sensitivity variations within different types of interferometers and with different shapes of objects is analysed, revealing significant variations for some common interferometers. Novel techniques are developed for real-time measurement of dynamic events by means of carrier fringes. This allows quantification of deformation and relief, where the latter is used in the correction of the sensitivity variations of the former

Development and Application of a Synthetic Near Infrared Fluorescent Probe for Imaging Modulatory Neurotransmitters

Dopamine neurotransmission plays critical roles in brain function in both health anddisease and aberrations in dopamine neurotransmission are implicated in severalpsychiatric and neurological disorders, including schizophrenia, depression, anxiety, andParkinson’s disease. Until recently, measuring the dynamics of dopamine and otherneurotransmitters of this class could not be achieved at spatiotemporal resolutionsnecessary to study how dopamine regulates the plasticity and function of neurons and neuralcircuits, and how dysfunctions in this regulation lead to disease. Probes that satisfy criticalattributes in spatiotemporal resolution and chemical selectivity are needed to facilitateinvestigations of dopamine neurochemistry.To address this need, this dissertation describes the synthesis and implementation ofan ultrasensitive near-infrared “turn-on” nanosensor (nIRCat) for the catecholamineneuromodulators dopamine and norepinephrine. To guide probe development, we presentresults from a computational model that offers insight into the spatiotemporal dynamics ofdopamine in the striatum, a subcortical structure that is enriched in dopamine. With thismodel, we elucidated the kinetic requirements for a prototypical optical indicator as well asoptimal imaging frame rates needed for measuring dopamine neurochemical dynamics.Stochastic modeling of dopamine dynamics, driven by kinetic phenomena of vesicularrelease, diffusion and clearance, provide a platform to evaluate dopaminergic volumetransmission arising from a single terminal or ensemble terminal activity. With this work,we illustrate that only probes with kinetic parameters in a particular range are feasible fordopamine imaging at spatiotemporal scales likely to be encountered in brain tissue.In two subsequent chapters, we describe the development and in vitrocharacterization of nIRCats, synthesized from functionalized single wall carbon nanotubes(SWCNT) that fluoresce in the near infrared range of the spectrum. We show that nIRCatsexhibit maximal relative change in fluorescence intensity (ΔF/F0) of up to 35-fold inresponse to catecholamines and have optimal dynamic range that span physiologicalconcentrations of their target brain analytes. Through a combination of experimental andmolecular dynamics approaches, we elucidate the photophysical principles and intermolecularinteractions that govern the molecular recognition and fluorescence modulation of nIRCats by dopamine.Finally, we demonstrate that nIRCat can be used to measure electrically andoptogenetically evoked release of dopamine in striatal brain slices, revealing hotspots ofactivity with a median size of 2 μm, and exhibiting a log-normal size distribution that extendsup to 10 μm. Moreover, nIRCats are shown to be compatible with dopamine pharmacologyand permit studies of how receptor-targeting drugs modulate evoked dopamine release. Ourresults suggest nIRCats may uniquely support similar explorations of processes that regulatedopamine neuromodulation at the level of individual synapses, and exploration of the effectsof receptor agonists and antagonists that are commonly used as psychiatric drugs andpsychoactive molecules that modulate the release and clearance profiles of dopamine. Weconclude that nIRCats and other nanosensors of this class can serve as versatile syntheticoptical tools to monitor interneuronal chemical signaling in the brain extracellular space atspatial and temporal scales pertinent to the encoded information

High-sensitivity interferometry

High-sensitivity interferometric techniques are considered for non-destructive testing applications. The methods enable quantitative measurement of optical path variations, resulting from dynamic changes within the test object. [Continues.

Imaging light in motion and its application to tracking hidden objects

It is well known that light, the fastest entity in the universe, moves at a staggering speed of 300 millions meters per second. The ability to stop its flight on a centimetre scale or lower requires a detector with temporal resolution of around a hundred picoseconds. Freezing light in motion at this scale is a feat worth achieving, as it leads to a variety of exciting applications, from observing dynamical light phenomena to measuring distances and depths with high precision, as in LIDAR technology. In the past decades, different technologies have been developed to image light in motion; in this thesis, we propose a new method that exploit a recently-developed single-photon detector technology to capture movies of light in motion at very low intensity levels. We use this method to develop novel imaging applications and detection techniques. In particular, this thesis reports on the observation and study of dynamical light phenomena such as laser propagation in air, laser-induced plasma, propagation in optical fibres and slow light. We also show how the ability to record light in motion can be used to capture light signals scattered from around an obstacle, leading to the ability to locate and track moving objects hidden from view

Large space structure experiments for AAP. Volume 2 - Analysis and evaluation of space structure concepts Final report, 15 Sep. 1966 - 15 Sep. 1967

Systems analyses of space erectable structure concepts for Apollo Applications Progra

A novel Three-Dimensional Micro-Electrode Array for in-vitro electrophysiological applications

Microelectrode arrays (MEAs) represent a powerful and popular tool to study in vitro neuronal networks and acute brain slices. The research standard for MEAs is planar or 2D-MEAs, which have been in existence for over 30 years and used for extracellular recording and stimulation from cultured neuronal cells and tissue slices. However, planar MEAs suffer from rapid data attenuation in the z-direction when stimulating/recording from 3D in-vitro neuronal cultures or brain slices. The existing proposed 3D in-vitro neuronal models allow to record the electrophysiological activity of the 3D network only from the bottom layer (i.e. the one directly coupled to the planar MEAs). Thus, to further develop and optimize such 3D neuronal network systems and to study and understand how the 3D neuronal network dynamics changes in different layers of the 3D structure, new three-dimensional microelectrodes arrays (3D-MEAs) are required. Early attempts in this field resulted in interesting integrated approaches toward protruding or spiked 3D-MEAs. Although these first prototypes could be successfully employed with brain slices, the limited heights of the electrodes (up to max 70 \u3bcm) and the peculiar shape of the recording areas made them not an ideal solution for 3D neuronal cultures. Moreover, a convenient and versatile method for the fabrication of multilevel 3D microelectrode arrays has yet to be obtained, due to the usually complicated and expensive designs and a lack of a full compatibility with standard MEAs both in terms of materials and recording area dimensions. To overcome the afore-mentioned challenges, in this work, I present the design, microfabrication, and characterization of a new 3D-MEA composed of pillar-shaped gold 3D structures with heights of more than 100 \u3bcm that can be used, in principle, on every kind of MEA, both custom-made and commercial. I successfully demonstrate the capability and ability of such 3D-MEA to record electrophysiological spontaneous activity from 3D engineered in-vitro neuronal networks and both 4-AP-induced epileptiform-like and electrically-evoked activity from mouse acute brain slices. I also demonstrate how the developed 3D-MEA allows better recording and stimulating conditions while interfacing with acute brain slices as compared to planar electrode arrays and previously reported 3D MEA technologies