11 research outputs found

    Predictive multiple sampling algorithm with overlapping integration intervals for linear wide dynamic range integrating image sensors

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.Includes bibliographical references (p. 163-170).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Machine vision systems are used in a wide range of applications such as security, automated quality control and intelligent transportation systems. Several of these systems need to extract information from natural scenes in the section of the electromagnetic spectrum visible to humans. These scenes can easily have intra-frame illumination ratios in excess of 10⁶ : 1. Solid-state image sensors that can correctly process wide illumination dynamic range scenes are therefore required to ensure correct reliability and performance. This thesis describes a new algorithm to linearly increase the illumination dynamic range of integrating-type image sensors. A user-defined integration time is taken as a reference to create a potentially large set of integration intervals of different duration (the selected integration time being the longest) but with a common end. The light intensity received by each pixel in the sensing array is used to choose the optimal integration interval from the set, while a pixel saturation predictive decision is used to overlap the integration intervals within the given integration time such that only one frame using the optimal integration interval for each pixel is produced. The total integration time is never exceeded. Benefits from this approach are motion minimization, real-time operation, reduced memory requirements, programmable light intensity dynamic range increase and access to incremental light intensity information during the integration time.(cont.) The algorithm is fully described with special attention to the resulting sensor transfer function, the signal-to-noise ratio, characterization of types and effects of errors in the predictive decision, calculation of the optimal integration intervals set given a certain set size, calculation of the optimal number of integration intervals, and impact of the new algorithm to image data compression. An efficient mapping of this algorithm to a CMOS process was done by designing a proof-of-concept integrated circuit in a 0.18[mu]m 1.8V 5-metal layer process. The major components of the chip are a 1/3" VGA (640 x 480) pixel array, a 4bit per pixel memory array, an integration controller array and an analog-to-digital converter/correlated double sampled (ADC/CDS) array. Supporting components include pixel and memory row decoders, memory and converter output digital multiplexers, pixel-to-ADC/CDS analog multiplexer and test structures. The pixels have a fill factor of nearly 50%, as most of the needed system additions and complexity were taken off-pixel. The prototype is fully functional and linearly expands the dynamic range by more than 60dB.by Pablo M. Acosta-Serafini.Ph.D

    MC 2019 Berlin Microscopy Conference - Abstracts

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    Das Dokument enthält die Kurzfassungen der Beiträge aller Teilnehmer an der Mikroskopiekonferenz "MC 2019", die vom 01. bis 05.09.2019, in Berlin stattfand

    Label-free and Multi-parametric Monitoring of Cell-based Assays with Substrate-embedded Sensors

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    Various approaches have been pursued on the basis of electrochemical or piezoelectric transducers, particularly of the quartz crystal microbalance (QCM), to monitor non-invasively and in real-time cellular states and reactions with substrate-embedded sensors. On the one hand, these comprised the technical development of piezoelectric sensors with multiple read-out spots and the integration of additional non-invasive (electro- and optochemical) sensor technologies on the QCM surface. On the other hand, a variety of studies and cell-based assays (CBAs) have been performed in order to test the sensor performances and to gain a deeper understanding of the sensors’ readout parameters with respect to their information content about the biophysical properties and the metabolic behavior of cells. Fig. 7–1 presents an overview of the different projects on the basis of QCM sensor disks presented in this thesis. In the first project (Fig. 7–1 A) a novel electrode layout was designed on the basis of commercial 5 MHz AT-cut quartz disks to implement two independent readout spots on the QCM surface. This also comprised the construction of new measurement chambers for the electrical actuation and sensing of quartz oscillations. These two-electrode QCM sensors (2ElQ) are also referred to as multichannel QCM (MQCM). The developed MQCM sensor spots on one quartz disk exhibited a strong interference, even though they were operated sequentially, which is in contrast to the results of previous theoretical calculations. The resonances could be successfully decoupled by coating half of the quartz surface and one sensor spot, respectively, with a thin and rigid film of photoresist. This quartz loading with mass caused a shift in the resonance spectra of the coated resonator to lower frequencies and efficient decoupling. The operation of the decoupled MQCM sensors demonstrated both, a sensitive and equal change in the oscillation characteristics of the two resonators upon loading of the quartz with medium. The Q-factor was not significantly different for the two resonators, qualifying the MQCM for its application in CBAs. Building on the preceding development of the double-electrode quartz disks, a novel electrode layout has been realized at the sensor surface, which enables the complementary electrochemical (impedance spectroscopical) characterization of the substrate-liquid interface in addition to its mechanical characterization by the piezoelectric transducers (Fig. 7–1 B). This layout was achieved by removing a small area of the insulating photoresist on the coated electrode in the photolithographic process. By this, a coplanar electrode arrangement of a small working electrode and a bigger counter electrode was created. This sensor combination on the basis of the MQCM is an improvement of the so-called 2nd generation QCM to what we call the 3rd generation QCM, and which is also referred to as QCM-ECIS. Various electrode layouts, varying in size and number of the working electrode(s), were fundamentally characterized microscopically and by profilometry regarding the geometrical properties and by means of impedance spectroscopy with respect to the sensing performances in QCM- and ECIS-mode. An optimal electrode layout was identified and defined as standard for subsequent applications in CBAs. In both QCM- and ECIS studies of cell-covered sensor surfaces significant changes in the characteristic sensing parameters with respect to the cell-free electrodes are measurable. In addition to the measurement of absolute signal changes, the transducer technologies of QCM and ECIS also enable to monitor the kinetic changes of the readout parameters with high temporal resolution. This allows to use the dual sensors for monitoring and analyzing the states of adherent cell cultures in any kind of assay, label-free, non-invasively, and in real-time. Mechanical (QCM-mode) and the dielectric (ECIS-mode) characteristics of cell adhesion were simultaneously measured for two different cell lines (MDCK II and NRK), with high reproducibility for each. The total and kinetic parameter changes in both sensing modes distinguished clearly and were specific for the cell lines under test. The signals from both QCM-mode and ECIS-mode recordings also reported on significant impacts of the presence/ absence of bivalent cations (Ca2+, Mg2+) on the attachment and spreading kinetics and behavior of MDCK II cells. Aside from cell adhesion studies, the cytomechanical and cell morphological reactions towards various stimuli were monitored and analyzed by QCM-ECIS in a multitude of cellular assays: systematic softening and stiffening of cells (using agents for disassembling the actin cytoskeleton and cross-linking protein structures, respectively), intracellular stimulation (using a second messenger analogue), as well as electrical manipulation (electroporation (ELPO) and wounding) of cell layers (applying invasive voltage pulses). The applicability of electrical actuation and the subsequent non-invasive, time-resolved, and dual sensing with the electrodes of the QCM-ECIS substrates has been successfully demonstrated. The monitoring of CBAs with the dual QCM-ECIS sensor chips developed in this thesis provides not only a multiplication of the information gain due to the complementarity of QCM and ECIS readout parameters. The simultaneous, time-resolved measurements also enable the kinetic correlation of the sensor signals in novel 2 D and 3 D diagrams, which offers the hitherto unprecedented opportunity for a more detailed view and analysis of the coherence or consecutiveness of mechanical and morphological/ dielectric changes of a cell layer under study. A third research project focused on the combination of optical-chemical sensors (OCS) with the piezoelectric (QCM) sensor technology. For this purpose, the quartz crystal surface was coated with a polymer film with embedded phosphorescent indicator dye for the target analyte. The luminescence properties were measured by means of fluorescence (phosphorescence) lifetime imaging (FLIM). By using a temperature-sensitive paint (TSP), an increase in temperature on the sensor surface upon high-amplitude oscillations was monitored and imaged this way in one project (Fig. 7–1 C). Based on this experimentally determined local heating on the QCM surface and the thereby generated temperature gradient in the liquid above the resonator, a thermophoretic convection in the fluid has been simulated. Theoretical considerations showed that the convection profile in the measurement vessel counteracts and even largely prevents the sedimentation of cells onto the sensor surface. It is suggested that the effect of thermophoresis is crucial especially in studies of biomolecular interactions on QCM surfaces at elevated shear amplitudes and driving voltages, respectively, which however has not been considered in literature to date. The phosphorescence quenching capability of oxygen was utilized in a second imaging project to monitor and image the local concentration and distribution of oxygen on the growth substrate of cells by means of a so-called pressure(/oxygen)-sensitive paint (PSP) (Fig. 7–1 D). A home-made experimental setup was constructed for sensor calibration and the imaging of subcellular oxygen, consisting of a FLIM setup coupled to an upright microscope and a temperature- and oxygen-controlled calibration and measurement chamber suitable for cellular applications. The cytocompatible sensor films have been characterized under various test conditions (in air, under medium, at different temperatures) regarding their sensitivity and response characteristics to different oxygen partial pressures. The oxygen consumption of cells adherently grown on the sensor film was successfully monitored and imaged by this setup. The time-resolved measurements demonstrated a significantly faster consumption of oxygen of a cell layer stimulated with a respiration chain decoupler compared to an unstimulated control cell layer. Taken together, various technical improvements of piezoelectric sensors (QCM) have been realized (MQCM, QCM-ECIS, ELPO-QCM-ECIS, QCM-OCS), which provide a significant information gain in cell-based applications. The sensors developed enable the high-content screening (HCS) of adherent cell lines in a wide range of assay formats and provide complementary physico-chemical information for obtaining a more complete picture of the state of cells and their reactions in contact to diverse stimuli. All sensor techniques share the characteristics of time-resolved, label-free, and non-invasive monitoring. This allows to disclose and analyze even the kinetics, delayed effects, recoveries, and fluctuations of physicochemical alterations of a studied cell layer, in addition to the absolute parameter changes, which is a valuable improvement compared to classical endpoint assays. The approach of combined, independent sensor systems also provides the novel possibility to bring parameters obtained by the different readout technologies from one cell layer in a temporal correlation, by which new insights into physiological relationships are possible

    Understanding Quantum Technologies 2022

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    Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma

    GSI Scientific Report 2006 [GSI Report 2007-1]

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    Reports to the President

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    A compilation of annual reports for the 1989-1990 academic year, including a report from the President of the Massachusetts Institute of Technology, as well as reports from the academic and administrative units of the Institute. The reports outline the year's goals, accomplishments, honors and awards, and future plans

    Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

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    Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-

    First Annual Workshop on Space Operations Automation and Robotics (SOAR 87)

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    Several topics relative to automation and robotics technology are discussed. Automation of checkout, ground support, and logistics; automated software development; man-machine interfaces; neural networks; systems engineering and distributed/parallel processing architectures; and artificial intelligence/expert systems are among the topics covered

    Reports to the President

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    A compilation of annual reports for the 1999-2000 academic year, including a report from the President of the Massachusetts Institute of Technology, as well as reports from the academic and administrative units of the Institute. The reports outline the year's goals, accomplishments, honors and awards, and future plans
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