Biomedical Engineering and Bioengineering Commons^™

Identification Of Microscopy Cell Images By Using Convolutional Neural Network Application, Ajis Norfatin Farisya

Student Works (2020-2029)

Breast cancer has been the major factor of cancer death and the second main cause of women’s deaths in the world. The false positive results of this cancer cell detection during the screening test leads to false treatment and emotional disturbance of the patients. Thus, breast cancer cell lines (MCF7) is used as the microscopy image samples together with the Human Bone Osteosarcoma Epithelial Cells (U2OS), and Human Hepatocyte as control to study the effectiveness of convolutional neural network (CNN) as a method of image recognition. The objectives of this study are to determine the ability of convolutional neural network …

An Improved Bone Age Assessment Using Advanced Image Processing And Deep Learning Approach, Kim Meng Liang

Student Works (2020-2029)

Pediatricians often apply bone age assessment to measure the skeletal maturity of children and to predict the future height. These discrepancies are good indicators for diagnosing growth disorders. Normally, left hand skeletal is employed in this assessment. The low quality of ossification sites of carpals deteriorates the pediatrician’s visibility in inspecting the pertinent radiographic manifestations. This in turn affects the bone age assessment. Therefore, we have to enhance the quality before assessing them. Histogram equalization is one of the contrast enhancement techniques that suit this type of enhancement. Existing histogram equalizations, however, are confronting with problems in preserving the brightness …

Suspended Carbon Nanowire Biosensor For Rapid And Label-Free Salmonella Detection, Thiha Aung

Student Works (2020-2029)

Carbon, the building block life, is rapidly becoming the building block of nextgeneration electronics and sensor materials. Of many ways to handle nanocarbon materials, Carbon Microelectromechanical Systems (C-MEMS) emerges as a unique way for top-down fabrication of three-dimensional carbon micro to nanostructures. In this work, the use of C-MEMS techniques in nanowire biosensor fabrication is explored. Two main hindrances in the use of C-MEMS carbon structures for biosensing lie in miniaturization to nanoscale sensor material and inertness of as-fabricated carbon. This dissertation presents ways to overcome these limitations. First, miniaturization to patterned sub-100 nm carbon nanowires was achieved by optimization …

Red Blood Cell Dynamics On Non-Uniform Grids Using A Lattice Boltzmann Flux Solver And A Spring-Particle Red Blood Cell Model, Brendan Walsh

Doctoral

The Computational Haemodynamics Research Group (CHRG) in Technological University Dublin is developing a computational fluid dynamics (CFD) software package aimed specifically at physiologically-realistic modelling of blood flow. A physiologically-realistic model of blood flow involves calculating the deformation of individual red blood cells (RBCs) and the contribution of this deformation to the overall blood flow. The CHRG has developed an enhanced spring-particle RBC structural model that is capable of modelling the full stomatocyte-discocyteechinocyte (SDE) transformation. This RBC model, incorporated into a fluid dynamics solver, will provide a physiologically-realistic blood flow model. In this work the overall plasma flow is modelled using …

Task-Specific Versus Impairment-Based Training On Locomotor Performance In Individuals With Chronic Spinal Cord Injury: A Randomized Crossover Study, Jennifer K. Lotter, Christopher E. Henderson, Abby Plawecki, Molly E. Holthus, Emily H. Lucas, Marzieh M. Ardestani, Brian D. Schmit, George Hornby

Biomedical Engineering Faculty Research and Publications

Background. Many research studies attempting to improve locomotor function following motor incomplete spinal cord injury (iSCI) focus on providing stepping practice. However, observational studies of physical therapy strategies suggest the amount of stepping practice during clinical rehabilitation is limited; rather, many interventions focus on mitigating impairments underlying walking dysfunction. Objective. The purpose of this blinded-assessor randomized trial was to evaluate the effects of task-specific versus impairment-based interventions on walking outcomes in individuals with iSCI. Methods. Using a crossover design, ambulatory participants with iSCI >1-year duration performed either task-specific (upright stepping) or impairment-based training for up to 20 sessions over ≤6 …

Processing-Structure-Property Relationships Of Biopolyester/Zinc Oxide Fibrous Scaffolds Engineered By Centrifugal Spinning, Victoria Padilla-Gainza, Heriberto Rodríguez-Tobías, Graciela Morales, Antonio Ledezma-Pérez, Carmen Alvarado-Canché, Cristobal Rodriguez, Robert Gilkerson, Karen Lozano

Mechanical Engineering Faculty Publications

This study addresses the processing of nonwoven fibrous materials obtained by centrifugal spinning method, namely Forcespinning; a high yield and low production cost technique little explored in this field. Poly(D, L-lactic acid) (PDLLA) and poly(3-hydroxybutyrate) (PHB) were used as matrices and reinforced with zinc oxide nanoparticles (n-ZnO). The morphology, mechanical, and thermal performance of the developed composites were analyzed as well as the antibacterial effect of n-ZnO. Fibrous materials with n-ZnO concentrations of 1, 3, and 5 wt. % for PDLLA and 1 and 3 wt. % for PHB were evaluated. The results showed that the incorporation of n-ZnO produces …

Development And Optimization Of Imaging And Image Quantification Techniques For Tissue-Engineered Blood Vessel Mimics, Ashley Turcott

Master's Theses

Blood vessels mimics (BVMs) are tissue-engineered blood vessels used to test vascular devices in an environment that mimics some simple anatomical factors of native blood vessels. It is important to accurately and consistently assess tissue-engineered blood vessels, although there is currently a lack of standardization in Cal Poly’s Tissue Engineering Lab and in the entirety of the field. The goal of this thesis was to develop and optimize imaging and image quantification techniques for tissue-engineered blood vessels.

The first aim of this thesis optimized and compared imaging and assessment techniques for electrospun scaffolds. Images from different SEMs were compared to …

The Neural Foundations Of Handedness: Insights From A Rare Case Of Deafferentation, S.A.L. Jayasinghe, F. R. Sarlegna, Robert A. Scheidt, R. L. Sainburg

Biomedical Engineering Faculty Research and Publications

The role of proprioceptive feedback on motor lateralization remains unclear. We asked whether motor lateralization is dependent on proprioceptive feedback by examining a rare case of proprioceptive deafferentation (GL). Motor lateralization is thought to arise from asymmetries in neural organization, particularly at the cortical level. For example, we have previously provided evidence that the left hemisphere mediates optimal motor control that allows execution of smooth and efficient arm trajectories, while the right hemisphere mediates impedance control that can achieve stable and accurate final arm postures. The role of proprioception in both of these processes has previously been demonstrated empirically, bringing …

Synthesis And Characterization Of Novel Silicone Hydrogel Biomaterials With Advanced Properties For Ocular Drug Delivery, Liana D. Wuchte

Theses and Dissertations

There is a need for next generation silicone hydrogel biomaterials with greater compositional flexibility and tailorable material properties for advanced manufacturing and new applications for ocular drug delivery. Poly(DMS-R11-co-TRIS-co-DMA-co-PEG200DMA-co-DEAEM-co-DADMAC) silicone hydrogel contact lenses were synthesized with macromolecular memory and showed 7-day in vitro release of latanoprost acid via a microfluidic platform with controlled release and improved drug payload capacity compared to control lenses. Six newly synthesized silicone macromers were then incorporated into contact lens formulations for the first time to produce a novel, improved platform. Various silicone macromer structures showed significantly improved solubility with TRIS and DMA with components ranging …

Novel Injectable Plga-Peg-Plga Self-Assembled Hydrogels For The Extended And Controlled Release Of Dna Nanocarriers To Prevent Secondary Cataracts, Laura L. Osorno

Theses and Dissertations

Cataracts are the second leading cause of blindness worldwide. There are over 20 million cataract surgeries each year, and these cases are expected to double within the next ten years. Over 40% of adults and nearly all children develop secondary cataracts, or posterior capsule opacification (PCO), following cataract surgery. Currently, Nd:YAG laser therapy is used to treat PCO; however, laser therapy is not available worldwide and treatment may have adverse effects on surrounding ocular tissues. Thus, there is a considerable unmet need for more efficacious and convenient treatments to prevent PCO.

Injectable, stimuli-responsive gels were designed using poly(lactic-co-glycolic acid)-b-poly(ethylene glycol)) …

Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari

USF Tampa Graduate Theses and Dissertations

Cell quantification in histopathology images plays a significant role in understanding and diagnosing diseases such as cancer and Alzheimers. The gold-standard for quantifying cells in tissue sections is the unbiased stereology approach. Unfortunately, in unbiased stereology current practices rely on a well-trained human to manually count hundreds of cells in microscopy images. However, this human-based manual approach is time-consuming, labor-intensive, subject to human errors, recognition bias, fatigue, variable training, poor reproducibility, and inter-observer error. Thus, the lack of high-throughput technology for automating unbiased stereology analyses remains a major obstacle to further progress in a wide range of neuroscience and cancer …

Designing Silk Protein-Based Composite Materials With Tunable Heat Transfer And Magnetic Properties, Ye Xue

Theses and Dissertations

Renewable and biocompatible silk protein materials with desired physical properties show promising applications in biomedical field. In this work, a set of protein-based composites with desired thermal and magnetic properties, enhanced by the appropriate distribution of nanofillers in the protein matrix in both 2D-film and 1D-fiber forms was investigated. Results indicate that secondary structures of silk protein materials regenerated by a formic acid-calcium chloride method are different from those of their respective natural silk fibers. Intramolecular beta-sheet structures were found to dominate these silk films, causing these regenerated samples to be water-insoluble but more flexible than traditional silk films with …

Spatial Heterogeneity Utilization In Ct Images For Lung Nodule Classication, Dmitrii Cherezov

USF Tampa Graduate Theses and Dissertations

Lung cancer (LC) is leading in the number of deaths among the other types of cancer. According to the American Cancer Society, 135,720 deaths during 2020 in the USA will be associated with LC. The patient 5-year survival rate of 16\% was reported in 1986 and 19% in 2019. One of the reasons why survival rate remains low is that the majority of patients diagnosed with cancer had stages III and IV. In contrast, a 5-year survival rate of 70% was reported for patients of stage IA after surgical resection in the National Lung Screening Trial.

CT screening detects a …

Existing Empirical Kinetic Models In Biochemical Methane Potential (Bmp) Testing, Their Selection And Numerical Solution, Yehor Pererva, Charles D. Miller, Ronald C. Sims

Biological Engineering Faculty Publications

Biochemical Methane Potential (BMP) tests are a crucial part of feasibility studies to estimate energy recovery opportunities from organic wastes and wastewater. Despite the large number of publications dedicated to BMP testing and numerous attempts to standardize procedures, there is no “one size fits all” mathematical model to describe biomethane formation kinetic precisely. Importantly, the kinetics models are utilized for treatability estimation and modeling processes for the purpose of scale-up. A numerical computation approach is a widely used method to determine model coefficients, as a replacement for the previously used linearization approach. However, it requires more information for each model …

Reprapable Automated Open Source Bag Valve Mask-Based Ventilator, Aliaksei Petsiuk, Nagendra Gautam Tanikella, Samantha C. Dertinger, Adam Pringle, Shane Oberloier, Joshua M. Pearce

Michigan Tech Publications, Part 1

This study describes the development of an automated bag valve mask (BVM) compression system, which, during acute shortages and supply chain disruptions can serve as a temporary emergency ventilator. The resuscitation system is based on the Arduino controller with a real-time operating system installed on a largely RepRap 3-D printable parametric component-based structure. The cost of the system is under $170, which makes it affordable for replication by makers around the world. The device provides a controlled breathing mode with tidal volumes from 100 to 800 milliliters, breathing rates from 5 to 40 breaths/minute, and inspiratory-to-expiratory ratio from 1:1 to …

Revolutionizing The Mechanical Engineering Undergraduate Curriculum, Shelby Ann Mcneilly, Krishna Pakala, Donald Plumlee

Mechanical and Biomedical Engineering Faculty Publications and Presentations

As the age of technological advancement and occupational opportunity continues to progress, companies must be constantly adjusting and transforming in order to accommodate industry demands. With these quickly developing requirements comes an expectation of employee experience and skill sets. For individuals seeking a career in mechanical engineering, moving forward with the tools necessary for success in this continuously evolving world begins with higher education. This paper is the first of a three-part series to report on the progress of Boise State University’s Mechanical and Biomedical Engineering Department’s mission to implement a revolutionized curriculum in their academic program. This paper will …

Small Molecule Drug Release Form In Situ Forming Degradable Scaffolds Incorporating Hydrogels And Bioceramic Microparticles, David A. Puleo, Todd A. Milbrandt, J. Zach Hilt, Paul Fisher, Vishwas Talwalkar

Biomedical Engineering Faculty Patents

The present invention relates to an injectable system combining a hydrogel, a bioceramic and a degradable matrix that provides for sustained drug delivery and structural support to recovering tissue, such as bone and the periodontium.

Study And Characterization Of Conductive Elastomers For Biomedical Applications, Hadis Gharacheh

Theses and Dissertations

Health issues have always been one of humankind's biggest challenges. Over the last century, there has been significant and monumental progress in health and biomedical science, with the end goal of alleviating and eliminating illnesses and ailments. For developing biomedical devices, polymers and elastomers group among other types of biomaterials have been highlighted to be used due to high flexibility, stability, biocompatibility, and mechanical and rheological characteristics. In this work, the characterization of acrylated poly glycerol_sebacate (PGSA) polymer conjugated with bio ionic liquid (BIL) was investigated. Results showed high biocompatibility, high printability with tunable mechanical, adhesive, and conductivity properties. For …

Optimal Reactor Configuration Of A Microbial Fuel Cell Containing Bacteria Genetically Engineered To Degrade Urea, Ann Mcmonigal, Sarah Khoilian, David Bengford

Bioengineering Senior Theses

The original specific aim of this project was to use a microbial fuel cell (MFC) fueled by the catabolism of E. coli DH5α (pKAU17) bacteria in order generate current as a result of urea degradation. The initial design plan was to test the bacteria outside of the MFC, obtain power measurements,, and finally, construct an electrochemical model that would be compared to an existing theoretical model developed at SCU. Using a 0.25 L anode chamber, graphite electrodes and a sulfonated tetrafluoroethylene based fluoropolymercopolymer proton exchange membrane the galvanic cell was constructed. In response to constraints, the design plan was modified …

A Convolutional Neural Network For Fast Fluence Estimation In Complex Tissues, Nicholas Blasey, Geoffrey P. Luke

ENGS 88 Honors Thesis (AB Students)

Photoacoustic (PA) imaging is a non-invasive diagnostic imaging technique that gives images of photoabsorbers based on their absorption of optical energy. These optical absorption properties can then be linked to important tissue properties. For the method to be quantitative, however, it is necessary to have an accurate estimation of the light fluence in the tissue. The current gold standard in addressing the fluence estimation problem, a Monte Carlo Simulation, is costly in time and computation. In this work, we developed a deep neural network to quickly and accurately estimate light fluence in arbitrary tissue types and geometries. The network was …