Neural Stem Cells
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.
ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...
40% devoted to special issues published in J. Quantum Electronics. Other topics: solid-state lasers, fiber lasers, optical diagnostics for semi-conductor manufacturing, and ultraviolet lasers and applications.
1st Portuguese Biomedical Engineering Meeting, 2011
Neurodegenerative disorders, such as Parkinson's disease, Huntington's disease, and multiple sclerosis, affect millions of people worldwide, with devastating impact on the patients and families. A reliable method to obtain cells for replacement therapy, using ex-vivo culture techniques, would be of great value for the treatment of these conditions. This project focuses on the development of bioreactor culture systems for the ...
2007 IEEE/ICME International Conference on Complex Medical Engineering, 2007
The neural stem cells were induced by low-level dopamine (DA). We allowed cells 72 h of differentiation before protein extraction. The global proteins of neural stem cells and dopaminergic neurons were extracted. In this study, the protein from cell lysat was rudiment separated by SDS-PAGE, and the gel strip was cut into several portions. The protein in each portion is ...
2008 Second International Symposium on Intelligent Information Technology Application, 2008
For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile, as the limitation of serial computation of MSA, multithreading technique is applied to save tracking time. The presented ...
2017 19th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), 2017
This paper describes the effect of three-dimensional (3D) tissue shape on differentiation ratio of neurons. We cultured mouse neural stem cells (mNSCs) in the closed agarose microchamber sealed with an agarose sheet. We succeeded in fabricating mNSC tissues of various 3D shapes in the closed agarose microchamber and induced differentiation of the lane-shaped mNSC tissues to neurons and glial cells. ...
2018 IEEE Micro Electro Mechanical Systems (MEMS), 2018
In brain, vascular niche is well known to function for regulation of proliferation and cell fate decision of neural stem cells (NSCs). The NSC niche is composed of vascular endothelial cells (VECs), and shear stress is known as a key factor on activity of the VECs. To reconstruct the NSC niche, perfusable coculture system is needed. Here we developed perfusable ...
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Development of Neural Interfaces for Robotic Prosthetic Limbs
ICASSP 2010 - Advances in Neural Engineering
Towards On-Chip Optical FFTs for Convolutional Neural Networks - IEEE Rebooting Computing 2017
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands
Auditory Neural Pathway Simulation - IEEE Rebooting Computing 2017
Achieving Swarm Intelligence with Spiking Neural Oscillators - IEEE Rebooting Computing 2017
IMS 2014: STEM at IMS
EMBC 2011-Workshop-Nanobiomaterials-Ehsan Jabbarzadeh
20 Years of Neural Networks: A Promising Start, A brilliant Future- Video contents
Technologies for 5G course, Part 2 - IEEE Smart Tech Workshop
Emergent Neural Network in reinforcement learning
On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation - IEEE Rebooting Computing 2017
Improved Deep Neural Network Hardware Accelerators Based on Non-Volatile-Memory: the Local Gains Technique: IEEE Rebooting Computing 2017
Lizhong Zheng's Globecom 2019 Keynote
Geothermal Energy in the Military
Large-scale Neural Systems for Vision and Cognition
Robot Stingrays Powered by Rat Muscle Cells - IEEE Spectrum Report
Hybrid Topologies for Reconfigurable Matrices Based on Nano-Grain Cells: IEEE Rebooting Computing 2017
Neurodegenerative disorders, such as Parkinson's disease, Huntington's disease, and multiple sclerosis, affect millions of people worldwide, with devastating impact on the patients and families. A reliable method to obtain cells for replacement therapy, using ex-vivo culture techniques, would be of great value for the treatment of these conditions. This project focuses on the development of bioreactor culture systems for the large-scale expansion of neural stem cells, starting with a model line of mouse embryonic stem cell- derived neural stem cells under adherent culture conditions. Adherent conditions are an alternative to conventional culture of NS cells as aggregates and may circumvent problems associated with this system. Small scale stirred bioreactors were successfully used for mNS cell expansion, with microcarriers to support cell adhesion and proliferation, with retention of neural stem/progenitor cell markers. The system was optimized by determining the best values for parameters like stirring speed, microcarrier concentration or feeding regimen. The system here described may open a new door for applications requiring high numbers of mouse neural cells, providing an efficient way for their generation. Furthermore, the know-how obtained with this work may be applied for the development of an equivalent system for human cells, which may find clinical applications.
The neural stem cells were induced by low-level dopamine (DA). We allowed cells 72 h of differentiation before protein extraction. The global proteins of neural stem cells and dopaminergic neurons were extracted. In this study, the protein from cell lysat was rudiment separated by SDS-PAGE, and the gel strip was cut into several portions. The protein in each portion is digested by trypsin, and then the peptides mixtures were analyzed by mass spectrometry (LC-MS/MS). 839 proteins in the neural stem cells and 718 proteins in the dopaminergic neuron were identified. The nestin protein was found in the NSCs and the Sodium-dependent dopamine transporter (DA transporter)(DAT) was found in the dopaminergic neuron which was induced by low level DA. The cytoskeletal proteins rearranged after the NSCs differentiated and regulating proteins changed a lot.
For studying their activities in time lapse image sequences, as some limitations of traditional mean-shift algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile, as the limitation of serial computation of MSA, multithreading technique is applied to save tracking time. The presented algorithm has been tested in three image sequences. Tracking result from comparison between improved and traditional MSA shows that the former has increased the accuracy rate and saved time, especially in large populationpsilas cells tracking.
This paper describes the effect of three-dimensional (3D) tissue shape on differentiation ratio of neurons. We cultured mouse neural stem cells (mNSCs) in the closed agarose microchamber sealed with an agarose sheet. We succeeded in fabricating mNSC tissues of various 3D shapes in the closed agarose microchamber and induced differentiation of the lane-shaped mNSC tissues to neurons and glial cells. We confirmed that tissues of thin width and thickness have higher differentiation ratio of neurons than that of spherical-shaped tissue, by changing the width and thickness of the lane shaped tissues.
In brain, vascular niche is well known to function for regulation of proliferation and cell fate decision of neural stem cells (NSCs). The NSC niche is composed of vascular endothelial cells (VECs), and shear stress is known as a key factor on activity of the VECs. To reconstruct the NSC niche, perfusable coculture system is needed. Here we developed perfusable microfluidic device for coculture of NSCs and VECs under shear stress mimicking physiological flow. We found that NSCs and VECs were activated under the shear stress, and highly expressed NSC-associated genes and shear stress responsive genes, respectively. The finding indicates that the culture system using the microfluidic device can reproduce NSC niche for research on development, homeostasis and regeneration of central nervous system (CNS).
The neural stem cells (NSCs) have a wide range of perspectives in clinical applications for neurology disorders due to their multi-potent potentials of differentiation. Automatic segment and classify the NSCs can be useful tools for biologist to monitor the progress of differentiation. In this paper, a hybrid image segmentation framework based on self-organizing map and watershed algorithm was applied to segment the NSCs in adherent culturing conditions. The cells shapes were analyzed using Fourier descriptors and classified using a feed-forward neural network. The results indicated that different shapes of NSCs in adherent culturing condition can be successfully segmented and classified based on these methods.
Transplantation of cells into central nervous system (CNS) shows a potential for treatment of post-traumatic and neurodegenerative diseases. Cadaver- derived neural cells can help reducing deficit of allogeneic material ready for transplantation. In this study we analyze post-mortal survival of spinal cord neural cells. Maximal time when alive neuronal cells can be recovered form spinal cord of the animals was determined as 56hr for human-size animal and 18hr for rat. Cells with surface expression of ganglioside GD2 and antigen CD24 constituted up to one percent of all recovered alive cells in earlier samples with time dependent decline in percentage. GD2-positive cells from rat spinal cord demonstrated spontaneous and induced electrical activity, which reduces with time post mortem.
Neural stem cell therapy for neurological pathologies, such as Alzheimer's and Parkinson's disease, may delay the onset of symptoms, replace damaged neurons and/or support the survival of endogenous cells. Magnetic resonance imaging (MRI) can be used to track magnetically labeled cells in vivo to observe migration. Prior to transplantation, labeled cells must be characterized to show that they retain their intrinsic properties, such as cell proliferation into neurospheres in a supplemented environment. In vivo images must also be correlated to sensitive, histological markers. In this study, we show that fetus-derived neural stem cells can be co-labeled with superparamagnetic iron oxide and PKH26, a fluorescent dye. Labeled cells retain the ability to proliferate into neurospheres in culture, but labeling prevents neurospheres from merging in a non-adherent culture environment. After labeled NSCs were transplantation into the rat brain, their location and subsequent migration along the corpus callosum was detected using MRI. This study demonstrates an imaging paradigm with which to develop an in vivo assay for quantitatively evaluating fetal neural stem cell migration
Neural stem cells/neural progenitors (NSCs/NPs) are cells that give rise to the main cell types of the nervous system: oligodendrocytes, neurons, and astrocytes. Studying NSCs/NPs with time-lapse microscopy is critical to the understanding of the biology of these cells. However, NSCs/NPs are very sensitive to phototoxic damage, and therefore, fluorescent dyes cannot be used to follow these cells. Also, since in most of NSC/NP-related experiments, a large number of cells neesd to be monitored. Consequently, the acquisition of a huge amount of images is required. An additional difficulty is related to our original suspension living, tracking objective, behavior much closer to the natural, in vivo, way of development of the cells. Indeed, unlike adherent cells, suspension cells float freely in a liquid solution, thus, making their dynamics very different from that of adherent cells. As a result, existing visual tracking algorithms that have primarily been developed to track adherent cells are no longer adequate to tackle living cells in suspension. This paper presents a novel automated 3-D visual tracking of suspension living cells for time-lapse image acquisition using phase-contrast microscopy. This new tracking method can potentially strongly impact on current 3-D video microscopy methods, paving the way for innovative analysis of NSCs/NPs and as a result, on the study of neurodegenerative diseases.
Accurate extraction of contour information from neural stem cells is important, as the shapes of neural stem cells may contain significant features for studying their activities in time lapse image sequences especially during their cleavage. In this paper, an algorithm is presented for this purpose. Fuzzy threshold method based on Zadeh's maximum entropy is adopted for cell segmentation. The best parameters of maximum fuzzy entropy are computed using genetic algorithm. The acquired contours are then smoothed in their one- dimensional Centroid-Contour Distance (CCD) diagrams. Compared with the results derived from traditional segmentation methods, the contours extracted using our method are much closer to the real cells, even for tiny objects size down to 30 pixels in images.
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