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arXiv 2024年

作者： Khwaja, Emaad Rashwan, Abdullah Chen, Ting Wang, Oliver Kothawade, Suraj Li, Yeqing UC Berkeley UCSF Joint Bioengineering Graduate Program United States Computer Science Division UC Berkeley United States Google United States Google Deepmind United Kingdom

We present a one-shot text-to-image diffusion model that can generate high-resolution images from natural language descriptions. Our model employs a layered U-Net architecture that simultaneously synthesizes images at multiple resolution scales. We show that this method outperforms the baseline of synthesizing images only at the target resolution, while reducing the computational cost per step. We demonstrate that higher resolution synthesis can be achieved by layering convolutions at additional resolution scales, in contrast to other methods which require additional models for super-resolution synthesis. © 2024, CC BY.

关键词： Diffusion

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Fourier diffuserscope: Single-shot 3d fourier light field microscopy with a diffuser

arXiv

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arXiv 2020年

作者： Liu, Fanglin Linda Grace, K.U.O. Antipa, Nick Yanny, Kyrollos Waller, Laura Electrical Engineering and Computer Sciences University of California Berkeley94709 United States UCB/UCSF Joint Graduate Program in Bioengineering University of California BerkeleyCA94709 United States

Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of a microscope to achieve single-shot 3D imaging of a sample, without any moving parts. Unfortunately, the 3D capability of LFM comes with a significant loss of lateral resolution at the focal plane, which is highly undesirable in microscopy. Placing the MLA near the pupil plane of the microscope, rather than the image plane, can mitigate the artifacts near focus and provide an efficient shift-invariant model at the expense of field-of-view. Here, we show that our Fourier DiffuserScope achieves significantly better performance than Fourier LFM. Fourier DiffuserScope uses a diffuser in the pupil plane to encode depth information, then reconstructs volumetric information computationally by solving a sparsity-constrained inverse problem. Our diffuser consists of randomly placed microlenses with varying focal lengths. We show that by randomizing the microlens positions, a larger lateral field-of-view can be achieved compared to a conventional MLA;furthermore, by adding diversity to the focal lengths, the axial depth range is increased. To predict system performance based on diffuser parameters, we for the first time establish a theoretical framework as a design guideline, followed by numerical simulations to verify. Under both theoretical and numerical analysis, we demonstrate that our diffuser design provides more uniform resolution over a larger volume, both laterally and axially, outperforming the MLA used in LFM. We build an experiment system with an optimized lens set and achieve 3 volume. Copyright © 2020, The Authors. All rights reserved.

关键词： Microlenses

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Time reversal beamforming for powering ultrasonic implants

Time reversal beamforming for powering ultrasonic implants

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International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Braeden C. Benedict Mohammad Meraj Ghanbari Sina Faraji Alarnouti Nathan Tessema Ersumo Rikky Muller UC Berkeley/UC San Francisco Joint Program in Bioengineering Berkeley CA USA University of California Berkeley Berkeley CA USA Chan Zuckerberg Biohub San Francisco CA USA

Efficient ultrasonic beamforming to millimeter-scale neural implants can reduce implant volume, improve tolerance to misalignment, and allow multiple implants to be operated simultaneously. This work proposes the use of time reversal, a computationally simple approach to beamforming that is robust despite scattering and inhomogeneity of the acoustic medium. A custom ultrasound phased array system is used to demonstrate beam focusing and steering both in a liquid phantom and through tissue. Time reversal is experimentally compared with other beamforming techniques by measuring energy transfer efficiency at varying depths and angles. Simultaneous power delivery to multiple implants is also demonstrated.

关键词： Phased arrays Ultrasonic imaging Array signal processing Ultrasonic variables measurement Scattering Phantoms Neural implants

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Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array

arXiv

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arXiv 2020年

作者： Monakhova, Kristina Yanny, Kyrollos Aggarwal, Neerja Waller, Laura Department of Electrical Engineering & Computer Sciences University of California BerkeleyCA94720 United States UCB/UCSF Joint Graduate Program in Bioengineering University of California BerkeleyCA94720 United States

Hyperspectral imaging is useful for applications ranging from medical diagnostics to crop monitoring;however, traditional scanning hyperspectral imagers are prohibitively slow and expensive for widespread adoption. Snapshot techniques exist but are often confined to bulky bench-top setups or have low spatio-spectral resolution. In this paper, we propose a novel, compact, and inexpensive computational camera for snapshot hyperspectral imaging. Our system consists of a repeated spectral filter array placed directly on the image sensor and a diffuser placed close to the sensor. Each point in the world maps to a unique pseudorandom pattern on the spectral filter array, which encodes multiplexed spatio-spectral information. A sparsity-constrained inverse problem solver then recovers the hyperspectral volume with good spatio-spectral resolution. By using a spectral filter array, our hyperspectral imaging framework is flexible and can be designed with contiguous or non-contiguous spectral filters that can be chosen for a given application. We provide theory for system design, demonstrate a prototype device, and present experimental results with high spatio-spectral resolution. © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement Copyright © 2020, The Authors. All rights reserved.

关键词： Spectroscopy

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Direct detection of adenovirus in environmental waste waters by portable optical fiber sensor platform

Direct detection of adenovirus in environmental waste waters...

引用

12th IEEE SENSORS 2013 Conference

作者： Yildirim, Nimet Li, Dan Long, Feng Gu, April Z. Bioengineering PhD Program Northeastern University Boston United States Department of Civil and Environmental Engineering Northeastern University Boston United States State Key Joint Laboratory of Environment Simulation and Pollution Control Environmental Science and Engineering Tsinghua University Beijing China Department of Environment Science and Engineering Tsinghua University Beijing China 360 Huntington Ave. Boston MA 02115 United States

ISBN: (纸本)9781467346405

Reusable and portable evanescent wave biosensor for rapid, sensitive and highly selective direct detection of adenoviruses was developed. Here, specific antibody for the hexon protein of the virus was used as a recognition element. Linear detection range was determined from 100PFU/ml to 2000PFU/ml. This direct detection system can be regenerated successfully with over 5 times without significant deterioration of the sensor performance. The developed biosensor system has high specificity towards adenovirus, and it was applied to environmental waste water samples for the detection of adenovirus with 95 to 117% recovery and 1.1 to 8.1% cv values (n=2). © 2013 IEEE.

关键词： Optical fibers

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Systematic study of electroporation of mouse myoblast cells on microchips

Systematic study of electroporation of mouse myoblast cells ...

引用

13th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2009

作者： Yin, Guang-Yao Lin, Ran Zhang, Tong-Yi Chang, Donald C. Lee, Yi-Kuen Bioengineering Graduate Program Hong Kong University of Science and Technology Hong Kong Hong Kong Dept of Mechanical Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Dept of Biology Hong Kong University of Science and Technology Hong Kong Hong Kong KAUST-HKUST Micro/Nanofluidic Joint Laboratory Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9780979806421

In this study, a systematic single-cell electroporation (EP) of mouse myoblast cells was investigated using micro EP chip technology. Large statistical data of the single-cell EP at different electrical conditions were used to determine the critical electric field for both EP and electric cell lysing of mouse myoblast cells. In addition, the EP phase diagram from more than 900 single-cell EP data was also constructed to optimize the EP efficiency with high cell viability. © 2009 CBMS.

关键词： Phase diagrams

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INTERACTIONS OF PROSTATE CANCER CELLS TO HUMAN MICROVASCULAR ENDOTHELIAL CELLS UNDER SHEAR STRESS CONDITIONS

INTERACTIONS OF PROSTATE CANCER CELLS TO HUMAN MICROVASCULAR...

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2007 IEEE Dallas Engineering in Medicine and Biology Workshop: Emerging Technologies for Healthcare and Quality of Life

作者： HAO XU NENE KALU PAVITHRA RAGHAVAN MYOUNG H. KIM KYTAI TRUONG NGUYEN Department of Bioengineering University of Texas Arlington USA Department of Bioengineering University of Texas Southwestern Medical Center at Dallas Department of Molecular Biology and Immunology University of North Texas USA Department of Molecular Biology and Immunology University of North Texas Health Science Center Department of Bioengineering University of Texas at Arlington (UTA) Joint Biomedical Engineering Program of UTA and University of Texas Southwestern Medical Center at Dallas

The interactions between prostate cancer cells with endothelial cells in the microvessels play an important role in prostate tumor metastasis. However, not many studies have been conducted to investigate the adhesion of prostate cancer cells on vascular endothelium and related mechanisms and modulators. In this study, human microvascular endothelial cells (HMEC) grown on glass slides were exposed to two different circulating prostate cancer cells, PC-3 and PC-3ML (highly metastasis prostate cancer cells) using an in vitro parallel flow system. The gene profiles of HMEC, after exposure to prostate cancer cells, were also investigated using cDNA microarrays. It was found that PC-3ML cells had significantly higher adhesion than PC-3 cells on HMEC monolayer. In addition, PC-3ML cells trigged more gene changes of HMEC than PC-3 cells did. These results suggested that prostate cancer cells might increase their adhesion to vascular endothelial cells by affecting the endothelial cell on the gene expression level.

关键词： Prostate cancer Humans Stress Cells (biology) Metastasis Adhesives Tumors Neoplasms Glass Biomedical engineering

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Assessment of resting-state brain networks in young and older adults by automatic voxel classification with atlas-guided diffuse optical tomography

Assessment of resting-state brain networks in young and olde...

引用

Clinical and Translational Biophotonics, Translational 2016

作者： Li, Lin Babawale, Olajide Cazzell, Mary Liu, Hanli Department of Bioengineering Joint Graduate Program between University of Texas ArlingtonTX76019 United States University of Texas Southwestern Medical Center University of Texas ArlingtonTX76019 United States Department of Neurology David Geffen School of Medicine University of California at Los Angeles Los AngelesCA90095 United States Cook Children's Medical Center Fort WorthTX76104 United States

We implemented an automatic voxel classification algorithm so that atlas-guided DOT and graph theory analysis can be jointly used to assess hemodynamic resting-state brain networks in young and older adults. © OS... 详细信息

ISBN: (纸本)9781943580101

关键词： Graph theory

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Theoretical and experimental study of electroporation of red blood cells using MEMS technology

Theoretical and experimental study of electroporation of red...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems

作者： Deng, Peigang Yin, Guangyao Zhang, Tong-Yi Chang, Donald C. Lee, Yi-Kuen KAUST-HKUST Joint Micro/Nanofluidics Lab. Hong Kong University of Science and Technology Hong Kong Hong Kong Bioengineering Graduate Program Hong Kong University of Science and Technology Hong Kong Hong Kong Dept. of Mechanical Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Dept. of Biology Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9781424465439

A theoretical and experimental study of electroporation (EP) of red blood cells (RBCs) was presented in this paper. With additional strain energy, an energy-based model of an electropore induced on a RBC's membrane at different electric fields was proposed to predict the critical EP electric field strength. In addition, EP experiments with red blood cells at single-cell level was carried out on a micro EP chip. The measured critical EP electric field strengths are in agreement with the numerical predictions. ©2010 IEEE.

关键词： Strain energy

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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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