Biomedical Engineering and Bioengineering Commons^™

High-Throughput Robotic Ethanol Inhibition Assays For Engineered Thermophilic Biofuel Strains, Kevin He, Daniel Olson, Marybeth Maloney, Anthony Lanahan

Wetterhahn Science Symposium Posters

Ethanol stress assays are commonly used to evaluate microbial tolerance, metabolic adaptation, and fermentation performance. However, manual liquid handling introduces variability across replicate wells and small-volume pipetting steps, limiting reproducibility and throughput. This study developed an automated OT-2 robotic workflow to generate replicated ethanol concentration gradients for high-throughput inhibition assays in engineered thermophilic biofuel strains. Kinetic plate-reader measurements were used to quantify ethanol-dependent growth responses under anaerobic fermentation conditions. The reasearch question is: How do engineered thermophilic biofuel strains differ in ethanol-dependent growth inhibition under anaerobic fermentation conditions, and can automated robotic assays improve the reproducibility of these measurements? Can …

Engineering Design And Analysis Using Creo® Cad, Cae, And Manufacturing Applications, Swapnil Moon

Open and Affordable Textbooks

This textbook presents a structured approach to computer-aided design using Creo, integrating CAD, CAE, and CAM workflows within a unified engineering framework. The material emphasizes parametric modeling, design intent, and feature-based modeling as foundations for creating robust and adaptable engineering models. Through progressively structured tutorials, students develop skills in part modeling, assemblies, engineering drawings, mechanism design, simulation, and manufacturing. The text incorporates real-world engineering components and workflows, including structural and thermal analysis, motion simulation, and toolpath generation, reflecting modern engineering practice. Designed for upper-division undergraduate and graduate students, this open educational resource supports hands-on learning and prepares students for industry-relevant …

Modeling Structural Support To Facilitate Novel Treatments Of Degenerative Disc Disease, Jose Luis Calderon

Poster Presentations

Over 600 million people worldwide suffered from low back pain in 2020, with projections for 2050 being over 800 million [1]. Annual costs associated with low back pain total over 450 billion dollars in the US alone [2]. This research serves as a proof-of-concept for the use of structural supports to facilitate intervertebral disc healing. This treatment would involve the implementation of these supports along with existing injection treatments to promote regeneration. In both models, along with the combined model, the ability for these supports to alleviate intervertebral disc height loss is shown. This indicates that these supports would serve …

Evaluation Of An Affordable Prosthetic Liner In Resource Limited Settings, Samerial Brown

Posters - 2026

The lower limb prosthesis is an important assistive technology for persons with limb amputations and differences. The interface (prosthetic liner) between the rigid prosthetic socket and the residual limb is often made of silicone, urethane or thermoplastic elastomer gel. This material provides cushioning and support as well as suspension for the transtibial (below knee) prosthetic leg. Unfortunately the cost of liners range from $3-$600. This cost precludes its use in resource limited settings such as Sri Lanka. As a result patients are fit with a foam liner which has less cushioning and suspension capabilities than a gel type liner. This …

Using Ai To Predict Energy Expenditure In Lower Limb Prosthesis Users, Nelly Diaz, Siem Hadish

Posters - 2026

• Computer vision has evolved from simple image classification and object detection to analyzing human motion and biomechanics (1). • CNN’s are usually focused on image classification, but, in this case, we are not asking the model if a person is walking. • Many real-world problems require regression: Predicting a continuous number like energy expenditure of walking is a complex task. • It is essential for Prosthetists to understand energy expenditure of their prosthetic patients (2). • An amputee may use 20-30% more energy to walk. • In this project, we developed an AI model to analyze human motion and …

Development Of An Automated Platform For Cell Biology Experiments, Dipendra Nepal

Shelby Hall Graduate Research Forum Posters

Cell biology experiments involve repetitive tasks such as pipetting, sample preparation, and imaging, which are typically performed manually. These manual processes can introduce variability, reduce efficiency, and increase the cost of biomedical research. To address these challenges, our lab is developing a modular robotic platform, iEye™, to automate key steps in cell biology workflows [1]. The system is designed as self-contained modules, allowing flexible development and integration of different functionalities. In this work, we focus on a sample preparation module that integrates a 6-degree-of-freedom robotic arm, a motorized stage, and a pneumatic pipetter. This module is being developed to automate …

Ai Driven Assessment For Clinical Scenarios, Sudhanshu Tarale, Bhushan Lohar, Ninad Pandit

Shelby Hall Graduate Research Forum Posters

Beta 1 captured granular data to validate the system’s ability to measure clinical thoroughness and deliver real-time feedback. Data collection formally approved by the USA IRB (Protocol 25 037; #22849172).

Bioprinted Scaffolds For Investigating Fibroblast Alignment, Lillian Thro, Daeha Joung Ph.D.

UROP Posters

Fibroblasts play a vital role in tissue repair, ECM remodeling, and maintaining structural integrity in human tissues. However, their behavior in engineered 3D microenvironments remains poorly understood. Traditional 2D cultures fail to capture the complex cell-cell and cell-matrix interactions that govern fibroblast alignment, migration, and proliferation in vivo. To address this gap, this project uses bioprinted scaffolds that mimic native ECM structures and provide a platform for studying fibroblast behavior in controlled microenvironments. The project focuses on varying scaffold channel properties—such as width, depth, and geometry—to investigate how physical cues influence fibroblast organization and collective migration. A biodegradable gelatin-based ECM …

Training A Cellpose Model For T-Cell Cytoplasm And Nucleus Segmentation, William Laws, Matthew Lindley, Irene Georgakoudi

Wetterhahn Science Symposium Posters

Accurate single-cell segmentation of cytoplasm from nucleus in autofluorescence images is critical for quantifying cellular metabolism using the optical redox ratio (FAD / FAD+NAD(P)H). However, automated cytoplasmic segmentation of T cell two-photon excitation fluorescence images remains challenging due to low signal-to-noise ratio, small cell size, and variability in cell brightness across imaging conditions. Here, we present a pipeline combining a custom-trained Cellpose-SAM model with an adapted cytoplasmic post-processing algorithm (CPPA) for automated single-cell metabolic analysis of T cell NAD(P)H autofluorescence images. Raw 2048×2048 pixel images were spatially binned 4×4 in MATLAB to improve signal-to-noise ratio and reduce processing time. A …

Monitoring Eye Movements To Assess The Impact Of Sensory Feedback On Cognitive Workload During Myoelectric Prosthetic Hand Use, Naomi Tchoungang, Hailey Dirrigl, Justin Asbee

2026 Research Poster Competition

Modern prosthetic hands allow users to grasp and manipulate objects, but many users must constantly watch the device to complete even simple tasks. This heavy reliance on vision increases cognitive effort, slows movement, and makes prosthetic use feel less natural. An important question in prosthetics research is whether providing sensory feedback (enabling users to feel what the prosthetic hand is doing) can reduce this cognitive load and improve performance. In this study, sensory feedback refers to a system that provides clear tactile cues to the user upon contact between the prosthetic hand and an object, helping replace information normally felt …

Assessing Mesenchymal Stem Cell Phenotype After Heparan Sulfate Supplementation, Isani Patel

2026 Research Poster Competition

Multiple sclerosis is an autoimmune disease that damages the protective coating of nerves, often causing lasting neurological symptoms. Current treatments slow disease activity but rarely repair existing damage. In response to this, a novel treatment option has emerged: mesenchymal stem cell (MSC) therapy. MSCs are cells found in different adult tissues like bone marrow, and they have the potential to release repair-supporting signals and moderate inflammation. Nevertheless, results in a clinical setting have been inconsistent due to variations in cell potency. As a potential strategy to enhance MSC therapeutic potential, the addition of heparan sulfate, a naturally occurring signaling molecule, …

Cardiovascular Monitoring For Maternal Health Using Wearable Devices, Daniela Alejandra Vasquez

2026 Research Poster Competition

Cardiovascular disease represents the leading cause of pregnancy-related mortality in the United States, accounting for over 30% of maternal deaths, with preeclampsia and hypertensive disorders contributing significantly to this burden. In Arkansas, maternal mortality rates reach 41.9 deaths per 100,000 live births. Current prenatal care relies on intermittent office-based blood pressure measurements conducted during 12-14 clinical visits, may not capture critical cardiovascular changes in a timely manner. Preeclampsia is characterized by new-onset hypertension after 20 weeks of gestation, affects 3-7% of pregnancies, and requires early detection to enable timely intervention. The limited accessibility of ambulatory blood pressure monitoring in rural …

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec Campbell

2026 Research Poster Competition

Current water quality assessment methods rely heavily on manual sampling and laboratory analysis, which are time-consuming and difficult to perform in remote or hazardous environments. In surface water monitoring, spatial and temporal resolution is often constrained by labor, access, and logistical limitations of manual sampling programs. This research aims to develop a drone-based system for real-time, in situ lake water quality monitoring. To address these challenges, the project focuses on integrating multiple water quality sensors, including oxidation-reduction potential (ORP), pH, electrical conductivity (EC), turbidity, and a multispectral spectrometer, into a compact, UAV-compatible design capable of collecting spatially referenced data. Methods: …

Enhancing Prosthetic Hand Training Through A Virtual Reality–Based Framework Integrated With The Coapt Control System., Iruoghene Ojoh

2026 Research Poster Competition

Enhancing Prosthetic Hand Training Through a Virtual Reality–Based Framework  Integrated with the Coapt Control System. Ojoh, I.1,2, Shell, A.1,  Asbee, J.1, Aguilar, D.1 ,Abbas, J.1,2,   1Institute for Integrative and Innovative Research, University of Arkansas, Fayetteville, AR;  2Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR  Introduction: Advances in upper-limb prosthetic hardware have greatly improved strength, durability, and mechanical performance; however, achieving intuitive control of EMG-based myoelectric prosthetic hands remains a significant challenge for individuals with trans-radial amputations. These devices rely on electromyography (EMG) signals generated by residual forearm muscles, which require consistent and well-coordinated muscle activation. Many users experience difficulty …

Testing The Effects Of Mechanical Stimulation On Mesenchymal Stem Cell Cultures, Ella Collis

2026 Research Poster Competition

Mesenchymal stem cells (MSCs) are a promising treatment option for a variety of diseases due to their ability to migrate to far-off sites, modulate inflammatory immune responses, secrete factors that aid in tissue healing, and their capacity to become several cell types. These cells can be found and isolated from various body tissues including bone marrow and adipose tissue, even so the number of cells obtained from these tissues is minimal compared to the amounts needed for their transplantation in cell therapy treatments. Therefore, their culture in plastic dishes is required to increase the number of cells and obtain the …

Monitoring Streambank Morphology Using Iphone Lidar Technology, Lily C. Stitt

2026 Research Poster Competition

Monitoring stream morphology is crucial for maintaining the health and safety of fluvial environments, particularly as these naturally dynamic systems are shifted out of equilibrium due to climate and land-use change. Quantifying these changes in stream geometry is useful for infrastructure design, water quality assessment, water resource management, and stream restoration, among other applications. Traditional stream surveying methods contain limitations that inhibit affordable and accessible stream surveying needed for evaluating fluvial systems with high accuracy and large data samples. In recent years, several advancements have been made in the use of Light Detection and Ranging (LiDAR) technology as an alternative …

Developing A Cpp-Conjugated Cas9 Library For Efficient Non-Viral Delivery To The Dmd Gene, Amie Donathan

2026 Research Poster Competition

Duchenne muscular dystrophy, or DMD, is a genetic neuromuscular disorder caused by the mutation of the DMD gene, resulting in alterations in the functionality or production of dystrophin, a protein essential to maintain muscle fiber integrity and strength. This mutation leads to progressive muscle degeneration, causing motor loss, cardiopulmonary failure, and ultimately, premature death. Gene therapies using CRISPR aim to replace the mutated gene to provide long-term correction. Although this has promise, CRISPR-based therapies use a viral vector to deliver, which presents notable challenges, such as immune problems and liver toxicity. A non-viral delivery method is a viable approach, but …

Preventing G-J Tube Dislodgement - A Device And Communication Innovation, Sarah Clark

2026

Abstract

The Problem: G/J tube dislodgement is a frequent complication in pediatric patients.

Leads to:

• Emergency department visits
• Hospital admissions
• Delays in nutrition/medication

Impact on Patients & Families:

• IV placement (traumatic)
• Radiation exposure
• Overnight hospital stays

Impact on Nurses & System:

• Increased workload (admissions, coordination)
• Occupied inpatient beds for stable patients
• Inefficient care processes

Aims/Objectives Aim: Reduce unplanned G/J tube dislodgements and related hospital utilization.

Objectives: Develop a breakaway connector prototype

Implementation and Evaluation:
Setting: Pediatric inpatient & outpatient system
Participants: Nurses (bedside, GI, IR), caregiver, innovation team
Process: Roundtable discussions → identified workflow gaps Communication/workflow audit Developed …

Impact Of Ionizable Lipid Variation On The Immunogenicity Of Lipid Nanoparticles, Chloe M. Krueger, Abbey L. Stokes, Shilpi Agrawl, Christopher E. Nelson

Annual Student Research Poster Session

Lipid nanoparticles (LNPs) are a leading nonviral delivery system for nucleic acid therapeutics due to their scalability and efficiency. However, certain formulations may trigger undesired immune responses. This study aimed to assess the inflammatory potential of LNPs formulated with different ionizable lipids using a murine macrophage reporter cell line (RAW-IRCs). RAW-IRCs express GFP upon successful mRNA delivery and mRFP1 upon activation of inflammatory pathways. A library of LNPs was synthesized via vortex mixing and characterized for hydrodynamic diameter, polydispersity index, and encapsulation efficiency. Treated RAW-IRCs were analyzed by flow cytometry to evaluate GFP and mRFP1 expression. Our results highlight seven …

Impulse, Fall 2025, Jill Fier, Sierra Brown, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Faculty News
3 | SDSU Vet Hua to Head Civil Engineering
6 | Ad Lunam — To the Moon
10 | Building A Safety Culture
11 | Department News
12 | Surface Mount Technology Kickoff
14 | Construction Management Student, Volleyball Player Building Success Piece by Piece
16 | Student Awards, Honors
18 | Student Competition Results
20 | NASA Win Opens Doors for New Product Development Order
22 | SDSU Engineering Student Tabbed as Noblereach Fellow
26 | Knabach Award Recipient from Apprentice Lineman to Company President
28 | Metzger Create Faculty Endowment for SDSU Engineering
30 …

Design And Assembly Of A Lightweight, Multi-Cannula Tetrode Drive For Bilateral Hippocampal And Acc Recordings, Homero Phelps, Jasmine Sidhu, Jonathan V. Trinidad, Talha Soluoku

Undergraduate Research Symposium Posters

Implants and Electrophysiology:

Electrophysiology is the study of the electrical properties of cells and tissues, neuronal implants enable high-resolution recordings of neuron action potentials and their locations in the brain.

Data gathered is key in investigating/mapping cognition and effects of neurological pathologies on regular neural systems.

Hyperdrive Model:

Previous model was restricted to two implant sites, and displayed frequent tetrode deformation

Hyperdrive was modified to support four implant sites and 16 independently movable tetrodes using 3D modeling software, while keeping its weight below 1.5 grams.

Targets:

Researchers targeted the hippocampus (CA1, CA3) and ACC, using the novel bilateral model

Clinical Use Of Sit2stand Ai Application For Kinematic Analysis In Prosthesis Users., Samerial Brown

Posters - 2025

Biomechanical analysis is a tool to evaluate prosthetic and orthotic patient's. These tools offer the clinician capability of understanding the mechanism of injury, gait deviation or prosthesis problem. Video based analysis require expensive hardware, software, and training which sometimes costs $40-100,000.

The recent advent of artificial intelligence (AI) has opened up the possibility of acquiring high speed human motion video analysis using low-cost hardware and open-source machine learning algorithms. Still, free assessments like the Sit2Stand test is a current clinical outcome measure which assesses ability of a patient to stand and sit as fast as possible 5x. The faster the …

Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar

Shelby Hall Graduate Research Forum Posters

Accurately diagnosing appendicitis remains a significant challenge in emergency medicine due to its varied clinical presentation and overlap with other abdominal conditions. Existing diagnostic models often rely on unimodal data, such as computed tomography (CT) images or clinical notes, limiting their ability to capture the full complexity of patient information. This study proposes a novel multimodal framework, a Unified Adaptive Cross-Attention Multimodal Framework (u-ACM), that integrates CT images and clinical notes using hybrid fusion strategies to improve diagnostic accuracy for appendicitis. The u-ACM leverages adaptive contextual filtering to dynamically remove irrelevant features, crossattention mechanisms to align features between modalities, and …

Thermophysical Properties Of Aqueous Amine Salts For Closed Air Cabin Revitalization, Mahmud R. Yusuf, Isabela Flores, Ben Hines, Li Hua Zhang, Seth Christa, Brooks D. Rabideau, Kevin West, Breanna Dobyns, James Davis

Shelby Hall Graduate Research Forum Posters

Carbon dioxide (CO2) capture plays a crucial role in closed cabin air revitalization, however current CO2 capture technologies pose several issues. Traditional amine solutions, such as monoethanolamine, are commonly used in CO2 capture on the International Space Station but face drawbacks including high volatility, thermal degradation, and unpleasant odor. To overcome these challenges, amine salt solutions have emerged as promising alternatives. Amine salt solutions have reduced environmental impact, lower corrosion potential, and improved CO2 loading capacity, making them a more efficient and sustainable replacement. Knowing these physical properties are critical for modeling and optimizing a scrubbing process that employs these …

Globus Pallidus Internus Dynamics During Freezing Of Gait, Nicholas Druck, Dean J. Krusienski, Josephine Wallner

Graduate Research Posters

Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder affecting ~1 in 1000 individuals over age 45. Freezing of Gait (FOG), a debilitating symptom in late-stage PD, affects up to 63% of patients and contributes to falls and reduced quality of life. While deep brain stimulation (DBS) of the subthalamic nucleus (STN) helps some symptoms, FOG remains difficult to treat. Given the complexity of basal ganglia circuitry, the role of related basal ganglia nuclei, such as the Globus Pallidus internus (GPi), in FOG deserves further investigation.

Methods: Five PD patients with FOG, implanted with Medtronic Percept DBS systems …

Detection Of Methane Leaks By The Use Of Mid-Range Infrared Camera, Jared Rosario, Oscar Salcido

Undergraduate Research Symposium Posters

Timely detection of methane leaks from natural gas infrastructure, like pipelines and valves, is essential for mitigating environmental and safety risks. This research focuses on using mid-wave infrared (MwIR) cameras on unmanned aerial systems (UAS) to detect leaks. By leveraging machine learning, the study aims to develop an efficient, real-time methane inspection system that operates directly on embedded processors on UAS platforms.

This project employs the FLIR G300a OGI camera for remote gas inspection, utilizing video preprocessing and optical flow to mask gas plumes in footage. The YOLOv8 deep learning model is used to detect gas pixels and segment the …

Impulse, Fall 2024, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Math Teacher Counts Her Blessings
3 | New Roles for Burckhard
4 | Three New Department Heads
6 | New Faculty and Staff
8 | Taking Engineering on The Road
10 | Dennis Helder Named Distinguished Alum
12 | Mccomish Endowment Making an Impact
14 | Innovate Sodak Supports Local Projects
16 | R1 the SDSU Way
18 | Nation’s Top Civil Engineering Student Chapter
22 | Hunter Wallster Setting Records
24 | Jenna Currier: When Passion Meets Talent
28 | Student Teams Compete
30 | RASC-AL Team Overcomes Setback
32 | Break the Ice Team Comes Home …

Introduction To Neuroengineering, Mercedes Terry, Abigail Tubbs, Blair Dupre, Brandon Fugger, Enrique Alvarez Vazquez

Open Educational Resources

"Introduction to Neuroengineering" serves as a comprehensive guide to the fast evolving field at the intersection of neuroscience, engineering, and technology. This book covers foundational concepts like neuron structure, action potentials, and neural modeling, moving through advanced topics like brain-computer interfaces (BCIs), neurostimulation, and imaging technologies (EEG, MEG, fMRI). Each chapter combines theory with practical exercises and lab examples, accessible through a GitHub repository to enhance hands-on learning. Aimed at students, educators, and professionals, this resource offers a foundation and inspiration for innovation in neuroengineering, promoting ongoing exploration in this impactful field.

Finger Contracture Relief Sensorized Splint, Katia Campos, Alfonso Gonzalez, Olivia Rojas

Posters - 2024

Hand traumas may result from an accident, a burn, or even something far more common like a jammed finger. Due to the pain, the hand is immobilized and this lack of movement, in addition to the healing processes, can lead to a deformity. The specific deformity addressed in this project is a Proximal Interphalangeal Joint Flexion Contracture, which is when the middle knuckles of the fingers are stuck in a flexed position. Contractions can occur after trauma or certain illnesses. It is the shortening of muscles, tendons, skin, and nearby soft tissues that causes the joints to become very stiff. …

Creation Of A Hyperplane Device For Horizontal Cellular Migration Assays, Nicholas M. Bittner, Nelofar Nargis, Ghoulem Ifrene, Brent Jeffrey Voels, Colin K. Combs

Biomedical Sciences Posters and Presentations

Cell culture studies routinely seek to monitor cell migration in response to chemoattractant stimuli. Common assays of cell migration employ well inserts and vertical cell migration assessment. This approach does not allow real-time monitoring of cell behavior. To address this need, we sought to develop a horizontal culture platform conducive to time course cell assessment changes in migration, morphology, phenotype etc. Modification of a commercial chamber slide allowed us to quantify cell migration in response to a 20% serum gradient. Based upon this finding, we designed and fabricated a prototype chamber slide for high replicate, real time assessment of cell …