Datasets

subject: Biomedical Engineering

Total is 44 Results
Drosophila Optical Stimulator - hardware files

10.4231/R75T3HHJ

Donald Ready , Taylor Zigon , Vikki Weake ORCID logo , Walter Leon-Salas , Xinping Chen ORCID logo

06/23/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded System Engineering Technology Light-Emitting Diode Open Hardware Optical Stimulation

MicroCT based FE model of single bone trabeculae with tissue heterogeneity and anisotropy

10.4231/R7H41PP9

Joseph Wallace , Matthew R Allen , Max Hammond , Thomas Siegmund ORCID logo

06/26/2018

This publication contains a finite element model for the analysis of single bone trabeculae under consideration of bone tissue heterogeneity and tissue anisotropy.

Biomedical Engineering Bone Finite Element Analysis Mechanical Engineering

Drosophila Optical Stimulator - software files

10.4231/R7222RS4

Donald Ready , Taylor Zigon , Vikki Weake ORCID logo , Walter Leon-Salas , Xinping Chen ORCID logo

06/23/2017

This publication contains the software required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Visualized layer-wise visual features in deep residual neural network

10.4231/R7PR7T1G

Haiguang Wen , Junxing Shi , Wei Chen , Zhongming Liu ORCID logo

06/29/2017

Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...

Biomedical Engineering deep learning natural vision Neural encoding Object Recognition

Drosophila Optical Stimulator

10.4231/R73N21JG

Donald Ready , Taylor Zigon , Vikki Weake , Walter Leon-Salas , Xinping Chen ORCID logo

06/27/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

10.4231/R7ST7N11

Matthew C Pharris , Tamara L. Kinzer-Ursem ORCID logo

02/16/2018

Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...

Biomedical Engineering Calmodulin Neuroscience

Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal

10.4231/R7WQ01R7

Haiguang Wen , Zhongming Liu ORCID logo

09/30/2015

Matlab toolbox for separating the fractal (scale-free) component and oscillatory component in the power spectrum from the mixed time series

Bioinformatics Biomedical Engineering fractal scale-free

A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

10.4231/R7KK98PG

Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar

09/03/2014

The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects

AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects

Changes in Lipid Profile and SOX-2 Expression in RM-1 Cells after Co-Culture with Preimplantation Embryos or with Deproteinated Blastocyst Extracts

10.4231/RVM1-G302

Bennett D. Elzey , Bruce R. Cooper , Christina R. Ferreira ORCID logo , Gregory M. Cresswell , Judy E. Hallett , Nicolas Gutierrez ORCID logo , Wen-Hung Wang

03/08/2022

The embryonic environment can modify cancer cell metabolism, and it is reported to induce the loss of tumorigenic properties and even affect the differentiation of cancer cells into normal tissues. The cellular mechanisms related to this...

Biomedical Engineering cancer cell metabolism embryonic environment lipid profiling RM-1 cells SOX-2 gene expression

Error-State Kalman Filter for Online Evaluation of Ankle Angle

10.4231/X00Q-YW81

Ahmed Khaled Soliman , Andres Torres , Guilherme A. Ribeiro , Mo Rastgaar ORCID logo

05/04/2022

Raw Data for an Error-State Kalman Filter (ESKF) for Online Evaluation of Ankle Ankle (in 2-DOF), using a 2-IMU setup.

Acceleration Biomedical Engineering Engineering Technology Matlab software Mechanical Engineering Robotics

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