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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Cotner, Kristen L. Sohn, Lydia L. UC Berkeley - UCSF Graduate Program in Bioengineering Berkeley and San Francisco United States UC Berkeley Department of Mechanical Engineering Berkeley United States

ISBN: (纸本)9781733419017

Node-pore sensing (NPS) is a versatile label-free microfluidic platform to measure a variety of cell phenotypes. Yet the single-channel nature of NPS limits throughput and precludes integration with components such as cell sorting. Here we demonstrate a novel multichannel NPS design by encoding the channels with Barker and Gold codes to modulate the current pulse. Particle events are detected through matched-filter detection and successive interference cancellation (SIC), resolving overlapping signals in the same channel and across separate channels. © 2020 CBMS-0001

关键词： Matched filters

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Adipose stromal/stem cells in regenerative medicine:Potentials and limitations

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World Journal of Stem Cells 2020年第1期12卷 1-7页

作者： Leandra Santos Baptista Multidisciplinary Center for Biological Research (Numpex-Bio) Federal University of Rio de Janeiro (UFRJ) Campus Duque de Caxias Post-graduate Program in Biotechnology National Institute of MetrologyQuality and Technology (INMETRO) Post-graduate Program in Translational Biomedicine (Biotrans) UnigranrioCampus Ⅰ Laboratory of Tissue Bioengineering Directory of Metrology Applied to Life SciencesNational Institute of MetrologyQuality and Technology(INMETRO)

This article presents the stem and progenitor cells from subcutaneous adipose tissue,briefly comparing them with their bone marrow counterparts,and discussing their potential for use in regenerative *** adipose tissue differs from other mesenchymal stromal/stem cells(MSCs)sources in that it contains a pre-adipocyte population that dwells in the adventitia of robust blood ***-adipocytes are present both in the stromal-vascular fraction(SVF;freshly isolated cells)and in the adherent fraction of adipose stromal/stem cells(ASCs;in vitro expanded cells),and have an active role on the chronic inflammation environment established in obesity,likely due their monocyticmacrophage lineage *** SVF and ASCs have been explored in cell therapy protocols with relative success,given their paracrine and immunomodulatory ***,the widely explored multipotentiality of ASCs has direct application in bone,cartilage and adipose tissue *** aim of this editorial is to reinforce the peculiarities of the stem and progenitor cells from subcutaneous adipose tissue,revealing the spheroids as a recently described biotechnological tool for cell therapy and tissue *** cell culture techniques,in particular 3D scaffold-free cultures such as spheroids,are now available to increase the potential for regeneration and differentiation of mesenchymal *** are being explored not only as a model for cell differentiation,but also as powerful 3D cell culture tools to maintain the stemness and expand the regenerative and differentiation capacities of mesenchymal cell lineages.

关键词： Mesenchymal stromal/stem cells Subcutaneous adipose tissue Stromalvascular fraction Adipose stromal/stem cells Regenerative medicine Cell therapy Tissue engineering Spheroids

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Creating an in vitro lung microenvironment via DNA-directed patterning to investigate the role of extracellular vesicles in metastasis 24

Creating an in vitro lung microenvironment via DNA-directed ...

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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Kitayama, Sean E. Sohn, Lydia L. UC Berkeley UCSF Graduate Program in Bioengineering BerkeleyCA United States Department of Mechanical Engineering University of California Berkeley BerkeleyCA United States

ISBN: (纸本)9781733419017

We present a novel in vitro heterogenous lung microenvironment fabricated using DNA-directed patterning, a lithographic method capable of controlled spatial and temporal presentation of cells and ligands with micron-scale precision. Designed using patient histology images, this alveolar microenvironment contains five cell types in an optimized co-culture system that has a number of advantages over existing in vivo models. Our optimized platform has the ability to answer questions about breast cancer metastasis, particularly about the role of extracellular vesicles in preparing the pre-metastatic niche in the secondary lung microenvironment. © 2020 CBMS-0001

关键词： Diseases

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Sustainable Next-generation Color Converters of P. harmala Seed Extracts for Solid-State Lighting

arXiv

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arXiv 2023年

作者： Erdem, Talha Orenc, Ali Akcan, Dilber Duman, Fatih Soran-Erdem, Zeliha Department of Electrical-Electronics Engineering Abdullah Gül University Kayseri Turkey Erciyes University Kayseri Turkey Bioengineering Graduate Program Abdullah Gül University Kayseri Turkey Department of Biology Erciyes University Kayseri Turkey Department of Engineering Sciences Abdullah Gül University Kayseri Turkey

Traditional solid-state lighting relies on color converters with a serious environmental footprint. As an alternative, natural materials such as plant extracts could be employed if their low quantum yield (QYs) in liquid and solid states were higher. With this motivation, here, we investigate the optical features of P. harmala extract in water, develop its efficient color-converting solids using a facile, sustainable, and low-cost method, and integrate it with a light-emitting diode. To obtain a high-efficiency solid host for the P. harmala-based fluorophores, we optically and structurally compared two crystalline and two cellulose-based platforms. Structural characterizations indicate that sucrose crystals, cellulose-based cotton, and paper platforms allow fluorophores to be distributed relatively homogenously as opposed to the KCl crystals. Optical characterizations reveal that the extracted solution and the extract-embedded paper possess QYs of 75.6% and 44.7%, respectively, whereas the QYs of the cotton, sucrose, and KCl crystals remain below 10%. Subsequently, as a proof-of-concept demonstration, we integrate the as-prepared efficient solid of P. harmala for the first time with a light-emitting diode (LED) chip to produce a color-converting LED. The resulting blue-emitting LED achieves a luminous efficiency of 21.9 lm/Welect with CIE color coordinates of (0.139,0.070). With these results, we bring plant-based fluorescent biomolecules to the stage of solid-state lighting. We believe that they hold great promise as next-generation, environmentally friendly organic color converters for lighting applications. © 2023, CC BY-NC-ND.

关键词： Color

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Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction

arXiv

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arXiv 2022年

作者： Leynes, Andrew P. Deveshwar, Nikhil Nagarajan, Srikantan S. Larson, Peder E.Z. The Department of Radiology and Biomedical Imaging University of California San Francisco San FranciscoCA94158 United States The UC Berkeley UC San Francisco Joint Graduate Program in Bioengineering Berkeley San FranciscoCA United States

Magnetic resonance imaging is subject to slow acquisition times due to the inherent limitations in data sampling. Recently, supervised deep learning has emerged as a promising technique for reconstructing sub-sampled MRI. However, supervised deep learning requires a large dataset of fully-sampled data. Although unsupervised or self-supervised deep learning methods have emerged to address the limitations of supervised deep learning approaches, they still require a database of images. In contrast, scan-specific deep learning methods learn and reconstruct using only the sub-sampled data from a single scan. Here, we introduce Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion (DNLINV) that does not require an auto calibration scan region. DNLINV utilizes a Deep Image Prior-type generative modeling approach and relies on approximate Bayesian inference to regularize the deep convolutional neural network. We demonstrate our approach on several anatomies, contrasts, and sampling patterns and show improved performance over existing approaches in scan-specific calibrationless parallel imaging and compressed sensing. © 2022, CC BY.

关键词： Magnetic resonance imaging

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Simplifying Dosimetry by Voxel-wise Activity Prediction with Regularized nCDE Encoder-nODE Decoder

Simplifying Dosimetry by Voxel-wise Activity Prediction with...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： K. M. Kim H. S. M. S. Selvam T. H. Tan K. W. Kang J. S. Lee Interdisciplinary Program in Bioengineering Seoul National University Graduate School Seoul Republic of Korea Integrated Major in Innovative Medical Science Seoul National University Graduate School Seoul Republic of Korea Sunway Medical Centre Nuclear Medicine Centre Selangor Malaysia Department of Nuclear Medicine Seoul National University Seoul Republic of Korea Bio-MAX Institute Seoul National University Seoul Republic of Korea

Object: In this study, we propose a new approach that utilizes nCDE and nODE as encoder and decoder, respectively, to predict the voxel-wise activity of late time points from acquired SPECT images at early time points to simplify the imaging process required for ***: We used 177 Lu-DOTATATE SPECT dataset acquired in Sunway Medical Centre (SMC, Selangor, Malaysia). The nCDE encoder-nODE decoder framework was constructed for voxel-wise activity prediction. We fed 3D patches randomly extracted from early sequential SPECT images (i.e. x 0.5h , x 4h , x 24h ) to the network. Then, the predicted voxel-wise activity is generated (x 48h ) through the encoder and decoder. Runge-Kutta method was applied for nCDE encoder and nODE decoder. The 17 SPECT datasets were divided into 12:3:2 for training, evaluation, and testing data sets ***: The voxel-wise activity levels of kidneys and tumor regions predicted by the network were more similar to the real SPECT image. The network yielded relatively smaller mean differences of region-specific activity compared to the Mono-exp regardless of regions. The network showed a better voxel-wise correlation with true SPECT 48h than Mono-exp regardless of the regions. The tendency of estimated TIA and corresponding differences was similar but the differences were larger than those of predicted region-specific ***: We confirmed the potential to predict the voxel-wise activity of later time point from the early acquired SPECT images using the nCDE-nODE framework for the first time. This framework would be beneficial to simplify the sequential imaging required for voxel-based dosimetry.

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Adaptive Environment-Aware Robotic Arm Reaching Based on a Bio-Inspired Neurodynamical Computational Framework

arXiv

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arXiv 2024年

作者： Chatziparaschis, Dimitrios Zhong, Shan Christopoulos, Vasileios Karydis, Konstantinos Dept. of Electrical and Computer Engineering Univ. of California Riverside 900 University Avenue RiversideCA92521 United States Neuroscience graduate program Univ. of California Riverside 900 University Avenue RiversideCA92521 United States Dept. of Bioengineering Univ. of California Riverside 900 University Avenue RiversideCA92521 United States

Bio-inspired robotic systems are capable of adaptive learning, scalable control, and efficient information processing. Enabling real-time decision-making for such systems is critical to respond to dynamic changes in the environment. We focus on dynamic target tracking in open areas using a robotic six-degree-of-freedom manipulator with a bird-eye view camera for visual feedback, and by deploying the Neurodynamical Computational Framework (NeuCF). NeuCF is a recently developed bio-inspired model for target tracking based on Dynamic Neural Fields (DNFs) and Stochastic Optimal Control (SOC) theory. It has been trained for reaching actions on a planar surface toward localized visual beacons, and it can re-target or generate stop signals on the fly based on changes in the environment (e.g., a new target has emerged, or an existing one has been removed). We evaluated our system over various target-reaching scenarios. In all experiments, NeuCF had high end-effector positional accuracy, generated smooth trajectories, and provided reduced path lengths compared with a baseline cubic polynomial trajectory generator. In all, the developed system offers a robust and dynamic-aware robotic manipulation approach that affords real-time decision-making. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic systems

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Snapshot hyperspectral imaging using a random phase mask and spectral filter array

Snapshot hyperspectral imaging using a random phase mask and...

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Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020

作者： Monakhova, Kristina Yanny, Kyrollos Waller, Laura Department of Electrical Engineering and Computer Sciences University of California Berkeley United States UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley United States

We introduce a snapshot hyperspectral imager that uses a random phase mask, repeated spectral filter array, and compressive recovery to achieve high spatial and spectral resolution in a small form factor. © 2020 ... 详细信息

ISBN: (纸本)9781557528209

关键词： Hyperspectral imaging

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Accelerating Radiochemistry Development: Automated Robotic Platform for Performing Up to 64 Droplet Radiochemical Reactions in a Morning

SSRN

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SSRN 2023年

作者： Jones, Jason Do, Viviann Lu, Yingqing van Dam, R. Michael Los AngelesCA United States Physics and Biology in Medicine Interdepartmental Graduate Program UCLA United States Department of Molecular & Medical Pharmacology David Geffen School of Medicine UCLA United States Department of Biochemistry UCLA United States Department of Bioengineering Henry Samueli School of Engineering and Applied Science UCLA United States

The growing discovery and development of novel radiopharmaceuticals and radiolabeling methods requires an increasing capacity for radiochemistry experiments. However, such studies typically rely on radiosynthesizers designed for clinical batch production rather than research, greatly limiting throughput. Two general solutions are being pursued to address this: developing new synthesis optimization algorithms to minimize how many experiments are needed, and developing apparatus with enhanced experiment throughput. We describe here a novel high-throughput system based on performing arrays of droplet-based reactions at 10 μL volume scale in parallel. The automatic robotic platform can perform a set of 64 experiments in ~3 h (from isotope loading to crude product, plus sampling onto TLC plates), plus ~1 h for off-line radio-TLC analysis and radioactivity measurements, rather than the weeks or months that would be needed using a conventional system. We show the high repeatability and low crosstalk of the platform and demonstrate optimization studies for two 18F-labeled tracers. This novel automated platform greatly increases the practicality of performing arrays of droplet reactions by eliminating human error, vastly reducing tedium and fatigue, minimizing radiation exposure, and freeing up radiochemist time for more intellectually valuable pursuits. © 2023, The Authors. All rights reserved.

关键词： Drops

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A Multi-objective Physiological Control for Continuous Flow Left Ventricular Assist Devices: Comparison of Estimator versus Sensor-based Feedback *

A Multi-objective Physiological Control for Continuous Flow ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Bruno Santos Idágene Cestari Biomedical Engineering Graduate Program Polythecnic School of Engineering University of Sao Paulo Av. Prof. Luciano Gualberto Sao Paulo Brazil Department of Electrical in Federal Institute of Sao Paulo and Department of Information Technology Universidade São Judas Tadeu Sao Paulo Brazil Bioengineering Laboratory Instituto do Coração InCor Hospital das Clínicas HCFMUSP Sao Paulo Brazil Biomedical Engineering Graduate Program Polytechnic School of Engineering University of Sao Paulo Sao Paulo Brazil

Left Ventricular Assist Devices have been successfully used for the treatment of Congestive Heart failure in patients who are not eligible for heart transplantation. This paper describes the implementation and comparison of the performance of a pressure sensor-based feedback controller. The strategies were tested on a mock loop of the systemic circulation. The results show that the use of pressure sensors generated a more accurate response of the controller compared to the use of *** Relevance— The study describes the integration of a LVAD physiological controller to a dynamic wireless monitoring system.

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