Biomedical Engineering and Bioengineering Commons^™

The Effects Of Engineering Summer Camps On Middle And High School Students’ Engineering Interest And Identity Formation: A Multi-Methods Study, Timothy Robinson, Adam Kirn, Jenny Amos, Indira Chatterjee

Journal of Pre-College Engineering Education Research (J-PEER)

This multi-methods study explores changes in engineering interest and identity of middle and high school students (n = 79) attending introductory-level engineering summer camps at a large western land grant university. Middle school is a critical time when student interest, identity, and subsequently career choice begin to emerge and hence it is important that at this age students are given accurate information about engineering majors in college and future career opportunities in engineering. Data were collected over a period of two years in six summer camps. Three separate populations of middle and high school students participated in the summer …

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 …

Methods To Study Activity Dependent Protein Synthesis In Autism Spectrum Disorder, Megan Webb, Karin F K Ejendal, Tamara L. Kinzer-Ursem

Discovery Undergraduate Interdisciplinary Research Internship

It is estimated by the World Health Organization that 1 in 100 children have autism spectrum disorder (ASD), a condition characterized by neurological differences that may impact a person’s learning or behavior. Clinically, ASD symptoms are alleviated with behavioral or pharmacological therapies, however, not all patients respond to these interventions. Deep brain stimulation (DBS) is a promising treatment of Parkinson’s disease that could also be effective in treating ASD. SynGAP1 is a protein involved in neuronal action that is crucial for regulating synaptic plasticity. Mutations in the SYNGAP1 gene causing haploinsufficiency can result in the manifestation of ASD symptoms. This …

Raman Spectroscopy - An Analytical Tool For Biologics, Cindy Mayorga, Shreya Milind Athalye, Mohit Verma

Graduate Industrial Research Symposium

Raman Spectroscopy (RS) is a non-invasive technique that analyses biomolecules qualitatively and quantitatively. Raman spectroscopy measures the inelastic scattering of light due to molecular vibrations. It can be applied to liquid, solid, or semi-solid forms of the biological sample reducing the sample preparation measures. The minimal sample preparation and non-invasive nature of Raman Spectroscopy can be applied in developing a Process analytical technology (PAT) tool and as a diagnostic tool. We demonstrated qualitative and quantitative measurements of biologics with Raman spectroscopy through our previous studies. Our results indicate that RS distinguishes various Gram-positive and Gram-negative bacteria, fungi, and a mixture …

Sea-Phages Course-Based Undergraduate Research Experience For Creating A Biotechnology Workforce Development Pipeline, Daphne Fauber, Kari Clase, Carol Weaver

Graduate Industrial Research Symposium

Purdue University has been a member of the SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) program since 2011. This program, created in conjunction with the Howard Hughes Medical Institute (HHMI), facilitates undergraduate curriculum for the authentic discovery of novel bacteriophages within the classroom. Since joining the program, undergraduates at Purdue have harnessed wet lab and bioinformatics principles to contribute over 200 previously uncharacterized bacteriophages and 25 novel genomes to the wider scientific literature. The SEA-PHAGES classes at Purdue have resulted in tangible professional deliverables for students through conference presentations and publications. Student outcomes also include transferable skills …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

Working Out The Kinks: Creating Solutions To Assist Health Care Workers To Take Vital Signs Through Effective Cable Management, Carl R. Russell Iii, Emily J. Linder, Maya A. Godbole

Purdue Journal of Service-Learning and International Engagement

EPICS (Engineering Projects in Community Service) is a service-learning design program run through Purdue University. It strives to teach students design skills through providing solutions for individuals, communities, and organizations in the surrounding area while mirroring engineering industry standards. BME (Bio-medical Engineering) is a team within EPICS that strives to serve community partners through biomedical applications. Members of a health care team often spend valuable time organizing cables associated with machines used to take patients’ vital signs. Due to time constraints and the fast-paced work environment, these cables may be mismanaged and damaged. The BME team is working on a …

Scandy: Simulating Realistic Human Scanpaths In Dynamic Real-World Scenes, Nicolas Roth, Martin Rolfs, Klaus Obermayer

MODVIS Workshop

No abstract provided.

Designing A Self-Regulating And Portable Heating Device For A Microfluidic Based Biosensor, Riya Mahajan

Discovery Undergraduate Interdisciplinary Research Internship

Paper-based biosensors are powerful microfluidic analytical devices that are potentially useful for a wide range of applications, ranging from medical diagnostics to agricultural and environmental monitoring. Molecular diagnostics have limitations because they need to send samples back to a centralized laboratory, which increases the cost and turnaround time of the test. This project aims to create a simple-to-use, low-cost, and portable heating system that would facilitate the creation of a field-deployable paper-based analytical device that can incubate the sample at elevated temperatures for conducting isothermal molecular assays. Our design aims to miniaturize a commercial water bath and will be fabricated …

Deep Learning Approach To Improved Image Quality For Medical Diagnostics, Olivia Loesch, Katie Leyba, Halyley Chan, Craig Goergen

Discovery Undergraduate Interdisciplinary Research Internship

The United Nation’s health-related Sustainable Development Goals are difficult to achieve in low- and middle-income countries due to workforce shortages and inadequate health surveillance systems. However, with the growth of artificial intelligence (AI) and computer algorithms, it is possible to apply AI to healthcare technologies to improve progress towards these UN standards. This project aims at using and improving computer algorithms and deep learning to aid in the extraction of important structural and functional information from murine carotid artery ultrasound and photoacoustic images. First, we created a large database of simulated photoacoustic images to optimize the algorithms. These images were …

A Review Of Mobile Apps For Chronic Kidney Disease Patients, Clarisse Zigan, Carl Russell Iii, Kirsten Wozniak, Kshaunish Soni

The Journal of Purdue Undergraduate Research

No abstract provided.

Collision Tracking And Brain Mapping, Carl Russell Iii

The Journal of Purdue Undergraduate Research

No abstract provided.

Visualizing Bacteriophage Evolution Through Sequence And Structural Phylogeny Of Lysin A And Terminase Proteins: An Analysis Of Protein Structure Across Phage Clusters, Maansi Asthana, Alyssa Easton, Julia Mollenhauer, Sean Renwick, Anita Golpalrathnam

The Journal of Purdue Undergraduate Research

Understanding how genes evolve and persist is a critical part of viral genomics. Bacteriophages can provide unique insight about viral evolution because of their abundance and largely unexplored history. Traditionally, phylogenetic trees have used DNA sequence comparison to visualize evolutionary paths between organisms. However, DNA sequence similarity does not reflect key alterations to protein structure and therefore how the protein performs its function. Phylogenetic trees based on predicted protein structure could provide an alternative lens through which to view evolutionary paths. From each of the 10 largest clusters included in the Actinobacteriophage Database, three mycobacteriophage genomes were selected. Lysin A …

Creating Reel Designs: Reflecting On Arthrogryposis Multiplex Congenita In The Community, Iris Layadi

Purdue Journal of Service-Learning and International Engagement

Because of its extreme rarity, the genetic disease arthrogryposis multiplex congenita (AMC) and the needs of individuals with the diagnosis are often overlooked. AMC refers to the development of nonprogressive contractures in disparate areas of the body and is characterized by decreased flexibility in joints, muscle atrophy, and developmental delays. Colton Darst, a seven-year-old boy from Indianapolis, Indiana, was born with the disorder, and since then, he has undergone numerous surgical interventions and continues to receive orthopedic therapy to reduce his physical limitations. His parents, Michael and Amber Darst, have hopes for him to regain his limbic motion and are …

Development Of Brain Atlases For Early-To-Middle Adolescent Collision-Sport Athletes, Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Ikbeom Jang, Nicole L. Vike, Diana O. Svaldi, Trey E. Shenk, Victoria N. Poole, Evan L. Breedlove, Gregory G. Tamer Jr, Larry J. Leverenz, Ulrike Dydak, Eric A. Nauman, Yunjie Tong, Thomas M. Talavage, Joseph V. Rispoli

Purdue University Libraries Open Access Publishing Fund

Human brains develop across the life span and largely vary in morphology. Adolescent collision-sport athletes undergo repetitive head impacts over years of practices and competitions, and therefore may exhibit a neuroanatomical trajectory different from healthy adolescents in general. However, an unbiased brain atlas targeting these individuals does not exist. Although standardized brain atlases facilitate spatial normalization and voxel-wise analysis at the group level, when the underlying neuroanatomy does not represent the study population, greater biases and errors can be introduced during spatial normalization, confounding subsequent voxel-wise analysis and statistical findings. In this work, targeting early-to-middle adolescent (EMA, ages 13–19) collision-sport …

Framework For Water Management In The Food-Energy-Water (Few) Nexus In Mixed Land-Use Watersheds In Colombia, Camilo Torres, Margaret Gitau, Jaime Lara-Borrero, Diego Paredes-Cuervo

Purdue University Libraries Open Access Publishing Fund

The food-energy-water (FEW) nexus approach has emerged as an alternative for managing these resources more efficiently. Work from studies conducted in the FEW nexus in Latin America is scarce in the scholarly literature. This study aims to develop a framework for water management at the FEW Nexus, with a focus on Colombia. The study focuses on a typical mixed land-use watershed in the Andean region with specific objectives being to: (1) characterize the watershed with respect to land use, climate, water resources, and other factors pertinent to the nexus; (2) explore the relationship between factors in the FEW nexus that …

In The Pursuit Of Assistance: A Team's Desire To Not Let A Congenital Amputation Get In A Young Boy's Way, Carl Russell Iii, Gavin Loucks, Kirsten Wozniak

Purdue Journal of Service-Learning and International Engagement

EPICS is a service-learning design program run through Purdue University. It strives to teach students design skills through providing for individuals, communities, and organizations in the surrounding area while mirroring engineering industry standards. BME (Biomedical Engineering) is a team within EPICS that strives to serve community partners through biomedical applications. William Sevick is an elementary school student with a congenital arm amputation. William and his family have been working with the BME team for the past three years designing assistive devices with the purpose of improving his actions in daily life such as eating, playing games, and riding his bike.

Raman Spectra-Based Deep Learning: A Tool To Identify Microbial Contamination, Murali K. Maruthamuthu, Amir Hossein Raffiee, Denilson Mendes De Oliveira, Arezoo M. Ardekani, Mohit S. Verma

Purdue University Libraries Open Access Publishing Fund

Deep learning has the potential to enhance the output of in-line, on-line, and at-line instrumentation used for process analytical technology in the pharmaceutical industry. Here, we used Raman spectroscopy-based deep learning strategies to develop a tool for detecting microbial contamination. We built a Raman dataset for microorganisms that are common contaminants in the pharmaceutical industry for Chinese Hamster Ovary (CHO) cells, which are often used in the production of biologics. Using a convolution neural network (CNN), we classified the different samples comprising individual microbes and microbes mixed with CHO cells with an accuracy of 95%–100%. The set of 12 microbes …

Characterization Of Neuronal Differentiation And Activity In Human-Induced Pluripotent Neural Stem Cells, Allison Biddinger

The Journal of Purdue Undergraduate Research

No abstract provided.

Comparison Of Machine Learning Models: Gesture Recognition Using A Multimodal Wrist Orthosis For Tetraplegics, Charlie Martin

The Journal of Purdue Undergraduate Research

Many tetraplegics must wear wrist braces to support paralyzed wrists and hands. However, current wrist orthoses have limited functionality to assist a person’s ability to perform typical activities of daily living other than a small pocket to hold utensils. To enhance the functionality of wrist orthoses, gesture recognition technology can be applied to control mechatronic tools attached to a novel fabricated wrist brace. Gesture recognition is a growing technology for providing touchless human-computer interaction that can be particularly useful for tetraplegics with limited upper-extremity mobility. In this study, three gesture recognition models were compared—two dynamic time-warping models and a hidden …

Model Based Analysis Of The Accuracy And Precision Of Auscultatory Blood Pressure Measurements In Patients With Atrial Fibrillation, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Accurate measurement of blood pressure in the presence of atrial fibrillation remains an open problem. The present study combines the techniques of stochastic mathematical modeling with physiological models of the systemic circulation, cuff, and arm (1) to explore mechanisms underlying both the lack of accuracy and the lack of precision in cuff-based arterial pressure measurements during atrial fibrillation and (2) to develop strategies to correct for errors. Both the cardiovascular system and the measurement technique are described using mathematics, including both numerical techniques and analytical probability theory. Preliminary results with numerical models suggested that, despite variability, average systolic pressures tend …

Ex Vivo Electrochemical Measurement Of Glutamate Release During Spinal Cord Injury, James K. Nolan, Tran N. H. Nguyen, Mara Fattah, Jessica C. Page, Riyi Shi, Hyowon Lee

Weldon School of Biomedical Engineering Faculty Publications

Excessive glutamate release following traumatic spinal cord injury (SCI) has been associated with exacerbating the extent of SCI. However, the mechanism behind sustained high levels of extracellular glutamate is unclear. Spinal cord segments mounted in a sucrose double gap recording chamber are an established model for traumatic spinal cord injury. We have developed a method to record, with micro-scale printed glutamate biosensors, glutamate release from ex vivo rat spinal cord segments following injury. This protocol would work equally well for similar glutamate biosensors.

Identifying Extracellular Matrix Protein Turnover Rates For Tissue Engineers, Alita F. Miller

The Journal of Purdue Undergraduate Research

No abstract provided.

Color Transparency From Motions Of Backgrounds And Overlays, Zhehao Huang, Qasim Zaidi

MODVIS Workshop

No abstract provided.

Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu

MODVIS Workshop

The human visual system processes information defining what is visually conspicuous (saliency) to our perception, guiding eye movements towards certain objects depending on scene context and its feature characteristics. However, attention has been known to be biased by top-down influences (relevance), which define voluntary eye movements driven by goal-directed behavior and memory. We propose a unified model of the visual cortex able to predict, among other effects, top-down visual attention and saccadic eye movements. First, we simulate activations of early mechanisms of the visual system (RGC/LGN), by processing distinct image chromatic opponencies with Gabor-like filters. Second, we use a cortical …

Quantified Measurement Of The Tilt Effect In A Family Of Café Wall Illusions, Nasim Nematzadeh Dr., David Martin Powers Prof.

MODVIS Workshop

This abstract explores the tilt effect in a family of Café Wall illusions using a Classical Gaussian Receptive Field model (CRF). Our model constructs an intermediate representation called edge map at multiple scales (Fig. 1) that reveals tilt cues and clues involved in the illusory perception of the Café Wall pattern. We investigate a wide range of parameters of the stimulus including mortar width, luminance, tiles contrast, and phase of the tile displacement (the stimuli in Fig. 2). We show that this simple bioplausible model, simulating the contrast sensitivity of the retinal ganglion cells, can not only detect the tilts …

An Observer Model Version Of General Recognition Theory, Fabian Soto Phd

MODVIS Workshop

No abstract provided.

(Poster) Design And Fabrication Of A Custom Wrist Orthosis For Enhanced Patient Comfort, Marko Tasic, Matthew Hansen, Mang Lian, Demetre Mitchell, Rashedul Sarker, Renny Fernandez, Erin Peterson, Joseph Herzog, David Olawale, Najmus Saqib

ASEE IL-IN Section Conference

This custom wrist orthosis project is the continuation of efforts made by students in the R.B Annis School of Engineering during the 2017-2018 academic year. Throughout this project, we have implemented the Design for Six Sigma (DFSS) methodology to guide the design process. Within the R.B. Annis School of Engineering, this methodology has been adapted into guide the DesignSpine process. We have designed a new orthosis that is custom fabricated for enhanced patient comfort. In the occupational therapy field, patients have reportedly not been wearing their prescribed orthoses/braces, which are designed to stabilize injured areas so that they heal properly. …

Increasing Stem Literacy Through Directed Outreach, Liesl Krause, Nicole Vike, Yukai Zou, Jana Vincent

Engagement & Service-Learning Summit

5th Annual Engagement and Service-Learning Summit: Connecting Through Listening and Scholarship, Thursday February 28th, 2019, Hosted by the Office of Engagement and Purdue Honors College

Disciplinary Learning From An Authentic Engineering Context, Catherine Langman, Judith Zawojewski, Patricia Mcnicholas, Ali Cinar, Eric Brey, Mustafa Bilgic, Hamidreza Mehdizadeh

Journal of Pre-College Engineering Education Research (J-PEER)

This small-scale design study describes disciplinary learning in mathematical modeling and science from an authentic engineeringthemed module. Current research in tissue engineering served as source material for the module, including science content for readings and a mathematical modeling activity in which students work in small teams to design a model in response to a problem from a client. The design of the module was guided by well-established principles of model-eliciting activities (a special class of problem-solving activities deeply studied in mathematics education) and recently published implementation design principles, which emphasize the portability of model-eliciting activities to many classroom settings.

Two …