Biomedical Engineering and Bioengineering Commons^™

Bacterial Motion And Spread In Porous Environments, Yasser Almoteri

Dissertations

Micro-swimmers are ubiquitous in nature from soil and water to mammalian bodies and even many technological processes. Common known examples are microbes such as bacteria, micro-algae and micro-plankton, cells such as spermatozoa and organisms such as nematodes. These swimmers live and have evolved in multiplex environments and complex flows in the presence of other swimmers and types, inert particles and fibers, interfaces and non-trivial confinements and more. Understanding the locomotion and interactions of these individual micro-swimmers in such impure viscous fluids is crucial to understanding the emergent dynamics of such complex systems, and to further enabling us to control and …

Cell Encapsulation In Gelatin Methacryloyl Bioinks Impairs Microscale Diffusion Properties, Elvan Dogan, Christina Holshue, Anant Bhusal, Roshni Shukla, Amir K. Miri

Henry M. Rowan College of Engineering Departmental Research

Light-assisted bioprinted gelatin methacryloyl (GelMA) constructs have been used for cell-laden microtissues and organoids. GelMA can be loaded by desired cells, which can regulate the biophysical properties of bioprinted constructs. We study how the degree of methacrylation (MA degree), GelMA mass concentration, and cell density change mass transport properties. We introduce a fluorescent-microscopy-based method of biotransport testing with improved sensitivity compared to the traditional particle tracking methods. The diffusion capacity of GelMA with a higher MA significantly decreased compared to a lower MA. Opposed to a steady range of linear elastic moduli, the diffusion coefficient in GelMA varied when cell …

Validation Of A Biomechanical Injury And Disease Assessment Platform Applying An Inertial-Based Biosensor And Axis Vector Computation, Wangdo Kim, Emir A. Vela, Sean S. Kohles, Victor Huayamave

Publications

Inertial kinetics and kinematics have substantial influences on human biomechanical function. A new algorithm for Inertial Measurement Unit (IMU)-based motion tracking is presented in this work. The primary aims of this paper are to combine recent developments in improved biosensor technology with mainstream motion-tracking hardware to measure the overall performance of human movement based on joint axis-angle representations of limb rotation. This work describes an alternative approach to representing three-dimensional rotations using a normalized vector around which an identified joint angle defines the overall rotation, rather than a traditional Euler angle approach. Furthermore, IMUs allow for the direct measurement of …

Thermoresponsive Polymers With Lcst Transition: Synthesis, Characterization, And Their Impact On Biomedical Frontiers, Yichun Yuan, Konpal Raheja, Nathalie B. Milbrandt, Sophia Beilharz, Steffy Tene, Solomon Oshabaheebwa, Umut A. Gurkan, Anna Cristina S. Samia, Metin Karayilan

Faculty Scholarship

Advances in thermoresponsive materials have significantly impacted many biomedical fields. The unique behavior of reversible phase transition close to the physiological temperatures makes these types of materials a great candidate for a wide variety of biomedical applications including bioimaging, biosensing, injectables, smart surfaces, adhesives, biomanufacturing, and tissue engineering. Thermoresponsive behavior, mainly lower critical solution temperature (LCST) can be easily tuned by shifting the balance between hydrophobicity and hydrophilicity (e.g., by using comonomers or changing end groups) and modifying the molecular weight and architecture of the polymer. Hence, synthetic and characterization tools are critical in tailoring and precisely determining these properties. …

Calculating The Difference In Stiffness Of Living T Cells Through Micropipette Aspiration, Minju Lee

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cardiovascular disease (CVD) accounted for 17.9 million deaths in 2019, with fibrosis contributing to nearly a quarter of these fatalities [1,2]. Fibrosis, characterized by excessive connective tissue formation, has been strongly linked to T cells, essential components of the immune system. This study explores the mechanisms of T cell activation and the subsequent changes in biophysical properties like diameter, stiffness, and elasticity, aiming to develop therapeutic strategies for fibrosis-related diseases, including CVD. Utilizing the micropipette aspiration technique, we accurately assessed T cell stiffness and observed a change in bulk cell stiffness upon activation. The results demonstrated increased fluid-like behavior in …

Enhancing Human Key Point Identification: A Comparative Study Of High-Resolution Vicon Dataset And Coco Dataset Using Bpnet, Bibash Lama

Masters Theses

Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study presents a high-resolution dataset created using the VICON motion capture system and three differently oriented 2D cameras, that can be used to train different neural networks for estimating the 2D key joint positions of the person from the 2D images or videos. The participants in the study included 25 healthy adults (17 males and 8 females) performing normal gait movements for about 2 to 3 seconds. The VICON system captured 3D ground truth data, while the three 2D cameras collected …

Hierarchical Based Classifcation Method Based On Fusion Ofgaussian Map Descriptors Foralzheimer Diagnosis Using T1‑Weighted Magnetic Resonance Imaging, Nourhan Zayed, Shereen E. Morsy, Inas A. Yassine

Mechanical Engineering

Alzheimer’s disease (AD) is considered one of the most spouting elderly diseases. In 2015, AD is reported the US’s sixth cause of death. Substantially, non-invasive imaging is widely employed to provide biomarkers supporting AD screening, diagnosis, and progression. In this study, Gaussian descriptors-based features are proposed to be efcient new biomarkers using Magnetic Resonance Imaging (MRI) T1-weighted images to diferentiate between Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI), and Normal controls (NC). Several Gaussian map-based features are extracted such as Gaussian shape operator, Gaussian curvature, and mean curvature. The aforementioned features are then introduced to the Support Vector Machine (SVM). …

Engineering Multifunctional Adhesive Hydrogel Patches For Biomedical Applications, Aishik Chakraborty, Shana Alexander, Wei Luo, Narisse Al-Salam, Mia Van Oirschot, Sudhir H. Ranganath, Subrata Chakrabarti, Arghya Paul

Chemical and Biochemical Engineering Publications

Traditional patches, such as sticking plaster or acrylic adhesives used for over a hundred years, lack functionality. To address this issue of poor functionality, adhesive hydrogel patches have emerged as an efficient bioactive multifunctional alternative. Hydrogels are three-dimensional, water-swellable, and polymeric materials closely resembling the native tissue architecture. The physicochemical properties of hydrogels can be modified easily, allowing them to be suitable for various biomedical applications. Moreover, adhesive properties can be imparted to hydrogels through physicochemical manipulations, making them ideal candidates for supplementing or replacing traditional sticking plaster. As a result, sticky hydrogel patches are widely used for transdermal drug …

Don't Fear The Artificial Intelligence: A Systematic Review Of Machine Learning For Prostate Cancer Detection In Pathology, Aaryn Frewing, Alexander B. Gibson, Richard Robertson, Paul Urie, Dennis Della Corte

Faculty Publications

The adoption of whole slide image (WSI) scanners in clinical practice was accelerated by US Food and Drug Administration approval in 2017, which allowed primary pathologic diagnoses to be made on scanned images. Images in the digital domain allow the application of pathology artificial intelligence (AI), including clinical decision support with algorithms performing specific diagnoses.1,2 These algorithms, if trained properly, could go beyond the ability of human observation to detect and quantify features that are not recognizable by human perception.1,3,4

A Novel Approach To Detect Modified Cytosines In A Nanopore Sequencer, Benjamin Davidorf

McKelvey School of Engineering Graduate Student Theses & Dissertations

Epigenetic changes, such as DNA methylation, have been seen in various types of cancers, diseases, and neurological disorders. A common form of methylation occurs when a methyl group is added to the C-5 position of a cytosine, which is called 5-methyl-cyosine (5- mC). Hydroxymethylated is a type of methylation where 5mC is oxidized to 5-hydroxy-methyl- cytosine (5hmC), which has been linked to normal brain development. Current methods to sequence DNA methylation patterns (5-mC and 5-hmC) at a genome-wide level have several limitations, so there remains a need for a method to efficiently map DNA methylation. The state- of-the-art method for …

Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas

Electronic Theses and Dissertations, 2020-2023

Mobile brain/body imaging utilizes electroencephalography (EEG) to record brain activity during human walking in dynamic environments. Motion artifact from cable sway affects the quality of EEG signals collected from the scalp, masking contributions of synchronously firing neurons. Previous studies have explored cable sway-induced motion artifact, but only during vigorous exercise or controlled sinusoidal motion. Therefore, a need remains to further understand the underlying mechanisms of this artifact, as it may help with developing real-time mitigation methods, reducing reliance on offline signal processing. In this thesis, I aimed to show that controlled cable sway could produce specific motion artifact waveforms in …

Improving Peripheral Nerve Regeneration Through Rehabilitation And Biomaterial-Based Drug Delivery Strategies, Yunfan Kong

Theses & Dissertations

Peripheral nerve injury (PNI) is a common problem worldwide, with trauma being a common cause. PNI can lead to loss of sensory and motor functions, chronic neuropathic pain, and mental health issues, significantly impacting patients' family life, work, and social situation. Recent studies revealed that beyond the topical injury site at peripheral nerves, PNIs can also induce dysfunctions in the central nervous system (CNS) by causing maladaptive plasticity, which will result in exaggeration and exacerbation of the pathological condition caused by primary injuries. The common therapy strategies for PNI treatment are using sutures, nerve autografts or conduits in cases requiring …

Nanoscale Modeling Of Membrane Systems Under Mechanical Deformation In Traumatic Brain Injury Using Molecular Dynamics, Anh Thi Ngoc Vo

Theses and Dissertations

Neuronal membrane disruption and mechanoporation are nanoscale damage mechanisms that critically affect brain cell viability during traumatic brain injury (TBI). These nanoscale cellular impairments are elusive in experiments and necessitate in silico approaches such as molecular dynamics (MD) simulations. Implementing MD, this research aims to investigate the effects of different key factors related to membrane deformation and damage, including force field resolutions, lipid compositions, and loading conditions.

To examine the impact of force field resolution, MD deformation simulations were conducted on 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphatidylcholine (POPC) lipid bilayer membranes, using all-atom (AA), united-atom (UA), and coarse-grained Martini (CG-M) force fields. The mechanical responses …

Multi-Objective Design Optimization Of Two Configurations Of Ventricular Shunts For Hydrocephalus, Will Kirkpatrick

Theses and Dissertations

Hydrocephalus is developed when the flow of cerebrospinal fluid is obstructed in the ventricles and a pressure build-up is generated within the brain. Ventricular shunts are used to remove excess fluid from the brain, but these shunts have a common problem of failure due to the shunt being obstructed by the build-up of astrocytes. To address this, two sets of 27 designs of ventricular shunts were identified and analyzed with parameters that could potentially reduce obstruction risks. The performance of these designs was examined using fluid simulations on these two sets of 27 designs. One set explored close-tipped shunt designs, …

The Effects Of Mechanical Strain On Vascular Calcification And The Canonical Wnt Pathway, Hannah E. Douglas

Theses and Dissertations

Cardiovascular disease is a significant health crisis, representing 32% of deaths worldwide in 2019. Vascular calcification (VC), a major contributor to cardiovascular disease, is a regulated biomineralization process whose exact mechanisms are unknown. Additionally, vascular smooth muscle cells (VSMCs) significantly contribute to VC by undergoing a phenotypic switch and differentiating into osteoblast-like cells. When factors like hypertension cause disturbed laminar flow in the body’s vasculature, the mechanical stress promotes the phenotypic switch and calcification of VSMCs via mechanotransduction. VC is also induced by the Wnt pathway, which is activated via mineral imbalance and mechanical stimulation. However, the exact mechanisms behind …

Analyzing Pseudomonas Aeruginosa With Bacteriophage Tags Using Photoacoustic Flow Cytometry, Jennifer C. Schinke

Electronic Theses and Dissertations

The number of daily bacterial infections is climbing and the CDC explains that this is due to the antibiotic-resistant threat in the United States. Finding a faster way of bacterial identification is necessary as it currently takes 1-4 days for a medical lab to culture and identify bacteria. Photoacoustic flow cytometry (PAFC) can be used as an alternative method resulting in swift identification within an hour (Edgar, 2019). Pseudomonas aeruginosa, cell line PA01, will be coated in up to a few hundred red dyed phages making it detectible by the photoacoustic flow cytometry system. Bacteriophages (phages) are viruses that …

Polyethylene Glycol-Mediated Directional Conjugation Of Biological Molecules For Enhanced Immunoassays At The Point-Of-Care, Dheerendranath Battalapalli, Purbali Chakraborty, Disha Jain, Umut A. Gurkan, Robert A. Bonomo, Mohamed S. Draz

Faculty Scholarship

Rapid and reliable point-of-care (POC) diagnostic tests can have a significant impact on global health. One of the most common approaches for developing POC systems is the use of target-specific biomolecules. However, the conjugation of biomolecules can result in decreased activity, which may compromise the analytical performance and accuracy of the developed systems. To overcome this challenge, we present a polymer-based cross-linking protocol for controlled and directed conjugation of biological molecules. Our protocol utilizes a bifunctional thiol-polyethylene glycol (PEG)-hydrazide polymer to enable site-directed conjugation of IgG antibodies to the surface of screen-printed metal electrodes. The metal surface of the electrodes …

Scanning Electron Microscopy Analysis Of Murine Renal, Aortic, And Cardiac Tissue, Sarah E. Grev, Luke E. Schepers, Jennifer Anderson, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

Scanning electron microscopy (SEM) is a tool that provides detailed insight into objects invisible to the human eye. As the name suggests, an electron beam is used to create an image down to the nanometer scale. The beam focuses on the surface of a sample using lenses in the electron column. In this project, we use SEM to study three types of murine tissue. First, we examine the glomerulus, found in the kidney, that is primarily responsible for filtering blood. Following a left renal vein (LRV) stenosis, SEM is used to observe changes to the glomeruli. Differences in the left …

Development Of Air-Jetting System For Bioprinting Of Alginate Micro-Droplets, Nathan Lingenfelter

Electronic Theses and Dissertations

Transplantation of organoids has been demonstrated to be a promising cure to many diseases including Type-1 diabetes. However, achieving consistent and robust derivations of mature organoids from human pluripotent stem cells (hPSCs) is challenging. Cellular mechano-transduction, where mechanical stimuli is sensed and converted to biochemical signaling, has been proposed to overcome this challenge. This pathway relies on encapsulating hPSCs in a small volume of a biomaterial such as alginate, which has been widely used as cell encapsulation materials due to its biocompatibility and selective permeability. In this project, we focused on developing an air-jetting based technique to generate small and …

Efficient Scopeformer: Toward Scalable And Rich Feature Extraction For Intracranial Hemorrhage Detection, Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool

Henry M. Rowan College of Engineering Departmental Research

The quality and richness of feature maps extracted by convolution neural networks (CNNs) and vision Transformers (ViTs) directly relate to the robust model performance. In medical computer vision, these information-rich features are crucial for detecting rare cases within large datasets. This work presents the “Scopeformer,” a novel multi-CNN-ViT model for intracranial hemorrhage classification in computed tomography (CT) images. The Scopeformer architecture is scalable and modular, which allows utilizing various CNN architectures as the backbone with diversified output features and pre-training strategies. We propose effective feature projection methods to reduce redundancies among CNN-generated features and to control the input size of …