1,798 research outputs found

    Implantable CMOS Biomedical Devices

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    The results of recent research on our implantable CMOS biomedical devices are reviewed. Topics include retinal prosthesis devices and deep-brain implantation devices for small animals. Fundamental device structures and characteristics as well as in vivo experiments are presented

    NINscope, a versatile miniscope for multi-region circuit investigations

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    Miniaturized fluorescence microscopes (miniscopes) have been instrumental to monitor neural signals during unrestrained behavior and their open-source versions have made them affordable. Often, the footprint and weight of open-source miniscopes is sacrificed for added functionality. Here, we present NINscope: a light-weight miniscope with a small footprint that integrates a high-sensitivity image sensor, an inertial measurement unit and an LED driver for an external optogenetic probe. We use it to perform the first concurrent cellular resolution recordings from cerebellum and cerebral cortex in unrestrained mice, demonstrate its optogenetic stimulation capabilities to examine cerebello-cerebral or cortico-striatal connectivity, and replicate findings of action encoding in dorsal striatum. In combination with cross-platform acquisition and control software, our miniscope is a versatile addition to the expanding tool chest of open-source miniscopes that will increase access to multi-region circuit investigations during unrestrained behavior

    Advanced microstructured platforms for neuroscience: from lab-on-chips for circadian clock studies to next generation bionic 3D brain tissue models

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    In mammals, the suprachiasmatic nucleus (SCN) of the hypothalamus is considered the master circadian pacemaker which coordinates circadian rhythms in the central nervous system (CNS) and across the entire body. The SCN receives light input from the eyes through the retinohypothalamic tract and then it synchronizes other clocks in the CNS and periphery, thus orchestrating rhythms throughout the body. However, little is known about how so many cellular clocks within and across brain circuits can be effectively synchronized to entrain the coordinated expression of clock genes in cells distributed all over the brain. In this work I investigated the possible implication of two possible pathways: i) paracrine factors-mediated synchronization and ii) astrocytes-mediated synchronization. To study these pathways, I adopted an in vitro research model that I developed based on a lab-on-a-chip microfluidic device designed and realized in our laboratory. This device allows growing and compartmentalizing distinct neural populations connected through a network of astrocytes or through a cell-free channel in which the diffusion of paracrine factors is allowed. By taking advantage of this device, upon its validation, I synchronized neural clocks in one compartment and analyzed, in different experimental conditions, the induced expression of clock genes in a distant neural network grown in the second compartment. Results show that both pathways can be involved, but might have different roles. Neurons release factors that can diffuse to synchronize a neuronal population. The same factors can also synchronize astrocytes that, in turn, can transmit astrocyte-mediated molecular clocks to more distant neuronal populations. This is supported by experimental data obtained using microfluidic devices featuring different channel lengths. I found that paracrine factors-mediated synchronization occurs only in the case of a short distance between neuronal populations. On the contrary, interconnecting astrocytes define an active channel that can transfer molecular clocks to neural populations also at long distances. The study of possibly involved signaling factors indicate that paracrine factors-mediated synchronization occurs through GABA signaling, while astrocytes-mediated synchronization involves both GABA and glutamate. These findings strength the importance of the synergic regulation of clock genes among neurons and astrocytes, and identify a previously unknown role of astrocytes as active cells in distributing signals to regulate the expression of clock genes in the brain. Preliminary results also show a correlation between astrocyte reactivity and local alterations in neuronal synchronization, thus opening a new scenario for future studies in which disease-induced astrocyte reactivity might be linked to alterations in clock gene expression.Three-dimensional (3D) brain models hold great potential for the generation of functional in vitro models to advance studies on human brain development, diseases and possible therapies. The routine exploitation of such models, however, is hindered by the lack of technologies to chronically monitor the activity of neural aggregates in three dimensions. A promising new approach consists in growing bio-artificial 3D brain model systems with seamless tissue-integrated biosensing artificial microdevices. Such devices could provide a platform for in-tissue sensing of diverse biologically relevant parameters. To date there is very little information on how to control the extracellular integration of such microscale devices into neuronal 3D cell aggregates. In this direction, in the present work I contributed to investigated the growth of hybrid neurospheroids obtained by the aggregation of silicon sham microchips (100x100x50\u3bcm3) with primary cortical cells. Interestingly, by coating microchips with different adhesion-promoting molecules, we reveal that surface functionalization can tune the integration and final 3D location of self-standing microdevices into neurospheroids. Morphological and functional characterization suggests that the presence of an integrated microdevice does not alter spheroid growth, cellular composition, nor network activity and maturation. Finally, we also demonstrate the feasibility of separating cells and microchips from formed hybrid neurospheroids for further single-cell analysis, and quantifications confirm an unaltered ratio of neurons and glia. These results uncover the potential of surface-engineered self-standing microdevices to grow untethered three-dimensional brain-tissue models with inbuilt bioelectronic sensors at predefined sites

    Technical implementations of light sheet microscopy

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    Fluorescence-based microscopy is among the most successful methods in biological studies. It played a critical role in the visualization of subcellular structures and in the analysis of complex cellular processes, and it is nowadays commonly employed in genetic and drug screenings. Among the fluorescence-based microscopy techniques, light sheet fluorescence microscopy (LSFM) has shown a quite interesting set of benefits. The technique combines the speed of epi-fluorescence acquisition with the optical sectioning capability typical of confocal microscopes. Its unique configuration allows the excitation of only a thin plane of the sample, thus fast, high resolution imaging deep inside tissues is nowadays achievable. The low peak intensity with which the sample is illuminated diminishes phototoxic effects and decreases photobleaching of fluorophores, ensuring data collection for days with minimal adverse consequences on the sample. It is no surprise that LSFM applications have raised in just few years and the technique has been applied to study a wide variety of samples, from whole organism, to tissues, to cell clusters, and single cells. As a consequence, in recent years numerous set-ups have been developed, each one optimized for the type of sample in use and the requirements of the question at hand. Hereby, we aim to review the most advanced LSFM implementations to assist new LSFM users in the choice of the LSFM set-up that suits their needs best. We also focus on new commercial microscopes and do-it-yourself strategies; likewise we review recent designs that allow a swift integration of LSFM on existing microscopes

    Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording

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    The brain is the most complex and least understood biological system known to man. New imaging techniques are providing scientists with an entirely new perspec- tive on the study of the functional brain at a neural circuit level, enabling in-depth understanding of both physiological processes and animal models of neurological and psychiatric diseases which currently lack e↵ective treatments. These new tools come at the cost of meeting the challenges associated with the miniaturization of the hard- ware for in vivo recording

    Physical principles for scalable neural recording

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    Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely new approaches may be required, motivating an analysis of the fundamental physical constraints on the problem. We outline the physical principles governing brain activity mapping using optical, electrical, magnetic resonance, and molecular modalities of neural recording. Focusing on the mouse brain, we analyze the scalability of each method, concentrating on the limitations imposed by spatiotemporal resolution, energy dissipation, and volume displacement. Based on this analysis, all existing approaches require orders of magnitude improvement in key parameters. Electrical recording is limited by the low multiplexing capacity of electrodes and their lack of intrinsic spatial resolution, optical methods are constrained by the scattering of visible light in brain tissue, magnetic resonance is hindered by the diffusion and relaxation timescales of water protons, and the implementation of molecular recording is complicated by the stochastic kinetics of enzymes. Understanding the physical limits of brain activity mapping may provide insight into opportunities for novel solutions. For example, unconventional methods for delivering electrodes may enable unprecedented numbers of recording sites, embedded optical devices could allow optical detectors to be placed within a few scattering lengths of the measured neurons, and new classes of molecularly engineered sensors might obviate cumbersome hardware architectures. We also study the physics of powering and communicating with microscale devices embedded in brain tissue and find that, while radio-frequency electromagnetic data transmission suffers from a severe power–bandwidth tradeoff, communication via infrared light or ultrasound may allow high data rates due to the possibility of spatial multiplexing. The use of embedded local recording and wireless data transmission would only be viable, however, given major improvements to the power efficiency of microelectronic devices

    Development of a miniaturized microscope for depth-scanning imaging at subcellular resolution in freely behaving animals

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    Le fonctionnement du cerveau humain est fascinant. En seulement quelques millisecondes, des milliards de neurones synchronisés perçoivent, traitent et redirigent les informations permettant le contrôle de notre corps, de nos sentiments et de nos pensées. Malheureusement, notre compréhension du cerveau reste limitée et de multiples questions physiologiques demeurent. Comment sont exactement reliés le fonctionnement neuronal et le comportement humain ? L’imagerie de l’activité neuronale au moyen de systèmes miniatures est l’une des voies les plus prometteuses permettant d’étudier le cerveau des animaux se déplaçant librement. Cependant, le développement de ces outils n’est pas évident et de multiples compromis techniques doivent être faits pour arriver à des systèmes suffisamment petits et légers. Les outils actuels ont donc souvent des limitations concernant leurs caractéristiques physiques et optiques. L’un des problèmes majeur est le manque d’une lentille miniature électriquement réglable et à faible consommation d’énergie permettant l’imagerie avec un balayage en profondeur. Dans cette thèse, nous proposons un nouveau type de dispositif d’imagerie miniature qui présente de multiples avantages mécaniques, électriques et optiques par rapport aux systèmes existants. Le faible poids, la petite dimension, la capacité de moduler électriquement la distance focale à l’aide d’une lentille à cristaux liquides (CL) et la capacité d’imager des structures fines sont au cœur des innovations proposées. Dans un premier temps, nous présenterons nos travaux (théoriques et expérimentaux) de conception, assemblage et optimisation de la lentille à CL accordable (TLCL, pour tunable liquid crystal lens). Deuxièmement, nous présenterons la preuve de concept macroscopique du couplage optique entre la TLCL et la lentille à gradient d’indice (GRIN, pour gradient index) en forme d’une tige. Utilisant le même système, nous démontrerons la capacité de balayage en profondeur dans le cerveau des animaux anesthésiés. Troisièmement, nous montrerons un dispositif d’imagerie (2D) miniature avec de nouvelles caractéristiques mécaniques et optiques permettant d’imager de fines structures neuronales dans des tranches de tissus cérébraux fixes. Enfin, nous présenterons le dispositif miniaturisé, avec une TLCL intégrée. Grâce à notre système, nous obtenons ≈ 100 µm d’ajustement électrique de la profondeur d’imagerie qui permet d’enregistrer l’activité de fines structures neuronales lors des différents comportements (toilettage, marche, etc.) de la souris.The functioning of the human brain is fascinating. In only a few milliseconds, billions of finely tuned and synchronized neurons perceive, process and exit the information that drives our body, our feelings and our thoughts. Unfortunately, our understating of the brain is limited and multiple physiological questions remain. How exactly are related neural functioning and human behavior ? The imaging of the neuronal activity by means of miniaturized systems is one of the most promising avenues allowing to study the brain of the freely moving subjects. However, the development of these tools is not obvious and multiple technical trade-offs must be made to build a system that is sufficiently small and light. Therefore, the available tools have different limitations regarding their physical and optical characteristics. One of the major problems is the lack of an electrically adjustable and energy-efficient miniature lens allowing to scan in depth. In this thesis, we propose a new type of miniature imaging device that has multiple mechanical, electrical and optical advantages over existing systems. The low weight, the small size, the ability to electrically modulate the focal distance using a liquid crystal (LC) lens and the ability to image fine structures are among the proposed innovations. First, we present our work (theoretical and experimental) of design, assembling and optimization of the tunable LC lens (TLCL). Second, we present the macroscopic proof-of-concept optical coupling between the TLCL and the gradient index lens (GRIN) in the form of a rod. Using the same system, we demonstrate the depth scanning ability in the brain of anaesthetized animals. Third, we show a miniature (2D) imaging device with new mechanical and optical features allowing to image fine neural structures in fixed brain tissue slices. Finally, we present a state-of-the-art miniaturized device with an integrated TLCL. Using our system, we obtain a ≈ 100 µm electrical depth adjustment that allows to record the activity of fine neuronal structures during the various behaviours (grooming, walking, etc.) of the mouse

    Beyond solid-state lighting: Miniaturization, hybrid integration, and applications og GaN nano- and micro-LEDs

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    Gallium Nitride (GaN) light-emitting-diode (LED) technology has been the revolution in modern lighting. In the last decade, a huge global market of efficient, long-lasting and ubiquitous white light sources has developed around the inception of the Nobel-price-winning blue GaN LEDs. Today GaN optoelectronics is developing beyond lighting, leading to new and innovative devices, e.g. for micro-displays, being the core technology for future augmented reality and visualization, as well as point light sources for optical excitation in communications, imaging, and sensing. This explosion of applications is driven by two main directions: the ability to produce very small GaN LEDs (microLEDs and nanoLEDs) with high efficiency and across large areas, in combination with the possibility to merge optoelectronic-grade GaN microLEDs with silicon microelectronics in a fully hybrid approach. GaN LED technology today is even spreading into the realm of display technology, which has been occupied by organic LED (OLED) and liquid crystal display (LCD) for decades. In this review, the technological transition towards GaN micro- and nanodevices beyond lighting is discussed including an up-to-date overview on the state of the art

    MEMS Technology for Biomedical Imaging Applications

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    Biomedical imaging is the key technique and process to create informative images of the human body or other organic structures for clinical purposes or medical science. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages of, for instance, miniaturization, high speed, higher resolution, and convenience of batch fabrication. There are many advancements and breakthroughs developing in the academic community, and there are a few challenges raised accordingly upon the designs, structures, fabrication, integration, and applications of MEMS for all kinds of biomedical imaging. This Special Issue aims to collate and showcase research papers, short commutations, perspectives, and insightful review articles from esteemed colleagues that demonstrate: (1) original works on the topic of MEMS components or devices based on various kinds of mechanisms for biomedical imaging; and (2) new developments and potentials of applying MEMS technology of any kind in biomedical imaging. The objective of this special session is to provide insightful information regarding the technological advancements for the researchers in the community

    Dual-beam confocal light-sheet microscopy via flexible acousto-optic deflector

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    Confocal detection in digital scanned laser light-sheet fluorescence microscopy (DSLM) has been established as a gold standard method to improve image quality. The selective line detection of a complementary metal-oxide-semiconductor camera (CMOS) working in rolling shutter mode allows the rejection of out-of-focus and scattered light, thus reducing background signal during image formation. Most modern CMOS have two rolling shutters, but usually only a single illuminating beam is used, halving the maximum obtainable frame rate. We report on the capability to recover the full image acquisition rate via dual confocal DSLM by using an acousto-optic deflector. Such a simple solution enables us to independently generate, control and synchronize two beams with the two rolling slits on the camera. We show that the doubling of the imaging speed does not affect the confocal detection high contrast
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