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- Genre: Academic theses
Description
This thesis work presents two separate studies:The first study assesses standing balance under various 2-dimensional (2D) compliant environments simulated using a dual-axis robotic platform and vision conditions. Directional virtual time-to-contact (VTC) measures were introduced to better characterize postural balance from both temporal and spatial aspects, and enable prediction of fall-relevant directions. Twenty healthy young adults were recruited to perform quiet standing tasks on the platform. Conventional stability measures, namely center-of-pressure (COP) path length and COP area, were also adopted for further comparisons with the proposed VTC. The results indicated that postural balance was adversely impacted, evidenced by significant decreases in VTC and increases in COP path length/area measures, as the ground compliance increased and/or in the absence of vision (ps < 0.001). Interaction effects between environment and vision were observed in VTC and COP path length measures (ps ≤ 0.05), but not COP area (p = 0.103). The estimated likelihood of falls in anterior-posterior (AP) and medio-lateral (ML) directions converged to nearly 50% (almost independent of the foot setting) as the experimental condition became significantly challenging.
The second study introduces a deep learning approach using convolutional neural network (CNN) for predicting environments based on instant observations of sway during balance tasks. COP data were collected from fourteen subjects while standing on the 2D compliant environments. Different window sizes for data segmentation were examined to identify its minimal length for reliable prediction. Commonly-used machine learning models were also tested to compare their effectiveness with that of the presented CNN model. The CNN achieved above 94.5% in the overall prediction accuracy even with 2.5-second length data, which cannot be achieved by traditional machine learning models (ps < 0.05). Increasing data length beyond 2.5 seconds slightly improved the accuracy of CNN but substantially increased training time (60% longer). Importantly, averaged normalized confusion matrices revealed that CNN is much more capable of differentiating the mid-level environmental condition.
These two studies provide new perspectives in human postural balance, which cannot be
interpreted by conventional stability analyses. Outcomes of these studies contribute to the advancement of human interactive robots/devices for fall prevention and rehabilitation.
ContributorsPhan, Vu Nguyen (Author) / Lee, Hyunglae (Thesis advisor) / Peterson, Daniel (Committee member) / Marvi, Hamidreza (Committee member) / Arizona State University (Publisher)
Created2021
Description
Understanding cellular processes can provide insight into disease pathogenesis and reveal critical information for prevention, diagnosis, and treatment. As key executors and signaling regulators, proteins carry relevant information not available from genomics and transcriptomics. Cell-to-cell differences significantly affect disease incidence and drug responses, generating a need for protein analysis at the single-cell level. However, quantitative protein analysis at the single-cell level remains challenging due to the low protein amount in a single cell and the proteome complexity. It requires sensitive detection techniques and appropriate sample preparation and delivery to the detection area. Here, a microfluidic platform in tandem with matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) has been developed for targeted intracellular protein analysis. The elastomeric multi-layer microfluidic platform, termed MIMAS, was designed as a series of 8.75 nL wells separated by pneumatic valves. The MIMAS platform allows cell loading, sample processing on-chip, and further in situ mass spectrometry analysis. The sample processing includes cell lysis, immunocapture, tryptic digestion and MALDI matrix solution loading for co-crystallization. This work demonstrates that the MIMAS approach is suitable for protein quantification by assessing the apoptotic protein Bcl-2 from MCF-7 breast cancer cells using an isotope-labeled peptide. The limit of detection was determined as 11.22 nM, equivalent to 5.91 x 10^7 protein molecules per well. Moreover, the MIMAS platform design was improved, allowing the successful quantification of Bcl-2 protein in small cell ensembles down to ~10 cells in 4 nL wells. Furthermore, the MIMAS platform was integrated with laser capture microdissection (LCM) for protein analysis from post-mortem human tissues. Intracellular amyloid-β peptide (Aβ), a hallmark of Alzheimer’s Disease, was assessed from human brain tissue using the LCM-MIMAS. The successful detection of Aβ from small cell ensembles (20 sliced pyramidal cells) demonstrated the LCM-MIMAS capability of assessing intracellular proteins from specific tissue cell subpopulations. The MIMAS approach is a promising tool for intracellular protein analysis from small cell ensembles, with the potential for single-cell analysis. It allows for protein analysis towards the understanding of biological phenomena for clinical and biological research.
ContributorsCruz Villarreal, Jorvani (Author) / Ros, Alexandra (Thesis advisor) / Borges, Chad R (Committee member) / Buttry, Daniel (Committee member) / Arizona State University (Publisher)
Created2022
Description
The imaging and detection of specific cell types deep in biological tissue is critical for the diagnosis of cancer and the study of biological phenomena. Current high-resolution optical imaging techniques are depth limited due to the high degree of optical scattering that occurs in tissues. To address these limitations, photoacoustic (PA) techniques have emerged as noninvasive methods for the imaging and detection of specific biological structures at extended depths in vivo. In addition, near-infrared (NIR) contrast agents have further increased the depth at which PA imaging can be achieved in biological tissues. The goal of this research is to combine novel PA imaging and NIR labeling strategies for the diagnosis of disease and for the detection of neuronal subtypes. Central Hypothesis: Utilizing custom-designed PA systems and NIR labeling techniques will enable the detection of specific cell types in vitro and in mammalian brain slices. Work presented in this dissertation addresses the following: (Chapter 2): The custom photoacoustic flow cytometry system combined with NIR absorbing copper sulfide nanoparticles for the detection of ovarian circulating tumor cells (CTCs) at physiologically relevant concentrations. Results obtained from this Chapter provide a unique tool for the future detection of ovarian CTCs in patient samples at the point of care. (Chapter 3): The custom photoacoustic microscopy (PAM) system can detect genetically encoded near-infrared fluorescent proteins (iRFPs) in cells in vitro. Results obtained from this Chapter can significantly increase the depth at which neurons and cellular processes can be targeted and imaged in vitro. (Chapter 4): Utilizing the Cre/lox recombination system with AAV vectors will enable selective tagging of dopaminergic neurons with iRFP for detection in brain slices using PAM. Thus, providing a new means of increasing the depth at which neuronal subtypes can be imaged and detected in the mammalian brain. Significance: Knowledge gained from this research could have significant impacts on the PA detection of ovarian cancer and extend the depth at which neuronal subtypes are imaged in the mammalian brain.
ContributorsLusk, Joel F. (Author) / Smith, Barbara S. (Thesis advisor) / Halden, Rolf (Committee member) / Anderson, Trent (Committee member) / Arizona State University (Publisher)
Created2022
Description
Characterizing and identifying neuroinflammatory states is crucial in developing treatments for neurodegenerative diseases. Microglia, the resident immune cells of the brain, regulate inflammation and play a vital role in maintaining brain health by producing cytokines, performing phagocytosis, and inducing or reducing inflammation. These functional states can be described by specific patterns of gene expression called transcriptional programs, which are determined by the activity of a set of key transcription factors that have mostly been identified. Thus, an assay for transcription factor activity could reveal the state of the microglial cells and neuroinflammation across the brain. This research developed an assay that uses a transcription factor dependent reporter to indicate which transcriptional programs are activated in the cell when exposed to different stimuli. The prototype assay quantifies nuclear factor kappa B (NF-kB) response in cultured human cells. NF-kB is a well-characterized transcription factor associated with inflammatory pathways in most cells, including microglia. The reporter construct contains an NF-kB specific responsive element that can induce fluorescence/luminescence upon activation of the transcription factor. In an iterative refinement, a dual response fluorescent reporter was developed, which uses a secondary constitutively fluorescent reporter for built-in normalization of the responsive element for microscopy studies. With further refinement, this modular system will serve as a template for less understood transcriptional enhancers allowing for rapid, low-cost assays of neuroimmune regulators and potential in vivo applications in the study of neuroinflammation.
ContributorsLieberman, Emma (Author) / Bartelle, Benjamin B (Thesis advisor) / Plaisier, Christopher L (Committee member) / Andrews, Madeline G (Committee member) / Arizona State University (Publisher)
Created2023
Description
Chimeric antigen receptor (CAR)-T cell therapy is a type of cancer immunotherapy has shown promising results in engineering the T cells which targets a specific antigen. Despite their success rate, there are certain limitations to the use of CAR-T therapies that includes cytokine release syndrome (CRS), neurologic toxicity, lack of response in approximately 50% of treated patients, monitoring of patients treated with CAR-T therapy. However, rapid point- of- care testing helps in quantifying the circulating CAR T cells and can enhance the safety of patients, minimize the cost of CAR-T cell therapy, and ease the management process. Currently, the standard method to quantify CAR-T cell in patient blood samples are flow cytometry and quantitative polymerase chain reaction (qPCR). But these techniques are expensive and are not easily accessible and suitable for point- of- care testing to assist real- time clinical decisions. To overcome these hurdles, here I propose a solution to these problems by rapid optical imaging (ROI)- based principle to monitor and detect CAR-T cells. In this project, a microfluidic device is developed and integrated with two functions: (1) Centrifuge free, filter- based separation of white blood cells and plasma; (2) Optical imaging- based technique for digital counting of CAR T- cells. Here, I carried out proof- of- concept test on the laser cut prototype microfluidic chips as well as the surface chemistry for specific capture of CAR-T cells. These data show that the microfluidic chip can specifically capture CAR-T positive cells with concentration dependent counts of captured cells. Further development of the technology could lead to a new tool to monitor the CAR-T cells and help the clinicians to effectively measure the efficacy of CAR-T therapy treatment in a faster and safer manner.
ContributorsElanghovan, Praveena (Author) / Wang, Shaopeng (Thesis advisor) / Forzani, Erica (Committee member) / Nikkhah, Mehdi (Committee member) / Arizona State University (Publisher)
Created2023
Description
Placental pregnancy is a biological scenario where tissue types bearing different antigen signatures co-exist within the same microenvironment without rejection. Placental trophoblast cells locally modulate the immune system in pregnancy, and one process through which this occurs is through the release of a class of nano-scaled extracellular vesicles called exosomes. The aim is to use these placental-derived immunomodulatory exosomes as a therapeutic and engineer a means to deliver these exosomes using a hydrogel vehicle. As such, two representative trophoblast cell lines, JAR and JEG-3, were used as exosome sources. First step involved the evaluation of the morphological and proteomic characterization of the isolated exosomes through dynamic light scattering (DLS) analysis, transmission electron microscopy (TEM) imaging, and mass spectrometry (MS) analysis. Following exosome characterization, incorporation of exosomes within hydrogel matrices like polyethylene glycol and alginate to determine their release profile over a timescale of 14 days was performed. Comparing the release between the two cell lines isolated exosomes, no discernible difference is observed in their release, and release appears complete within two days. Future studies will evaluate the impact of exosome loadings and hydrogel modification on exosome release profiles, as well as their influence on immune cells.
ContributorsHiremath, Shivani Chandrashekher Swamy (Author) / Weaver, Jessica D (Thesis advisor) / Plaisier, Christopher (Committee member) / Wang, Kuei-Chun (Committee member) / Arizona State University (Publisher)
Created2021
Description
While pulse oximeter technology is not necessarily an area of new technology, advancements in performance and package of pulse sensors have been opening up the opportunities to use these sensors in locations other than the traditional finger monitoring location. This research report examines the full potential of creating a minimally invasive physiological and environmental observance method from the ear location. With the use of a pulse oximeter and accelerometer located within the ear, there is the opportunity to provide a more in-depth means to monitor a pilot for a Gravity-Induced Loss of Consciousness (GLOC) scenario while not adding any new restriction to the pilot's movement while in flight. Additionally, building from the GLOC scenario system, other safety monitoring systems for military and first responders are explored by alternating the physiological and environmental sensors. This work presents the design and development of hardware, signal processing algorithms, prototype development, and testing results of an in-ear wearable physiological sensor.
ContributorsNichols, Kevin (Author) / Redkar, Sangram (Thesis advisor) / Tripp Jr., Llyod (Committee member) / Dwivedi, Prabha (Committee member) / Sugar, Thomas (Committee member) / Arizona State University (Publisher)
Created2021
Description
Sutures, staples, and tissue glues remain the primary means of tissue approximation and vessel ligation. Laser-activated tissue sealing is an alternative approach that conventionally employs light-absorbing chromophores and nanoparticles for converting near-infrared (NIR) laser to heat. The local increase in temperature engenders interdigitation of sealant and tissue biomolecules, resulting in rapid tissue sealing. Light-activated sealants (LASE) were developed in which indocyanine green (ICG) dye is embedded within a biopolymer matrix (silk or chitosan) for incisional defect repair. Light-activated tissue-integrating sutures (LATIS) that synergize the benefits of conventional suturing and laser sealing were also fabricated and demonstrated higher efficacies for tissue biomechanical recovery and repair in a full-thickness, dorsal surgical incision model in mice compared to commercial sutures and cyanoacrylate skin glue. Localized delivery of modulators of tissue repair, including histamine and copper, from LASE and LATIS further improved healed skin strength. In addition to incisional wounds, histamine co-delivered with silk fibroin LASE films accelerated the closure of full thickness, splinted excisional wounds in immunocompetent BALB/c mice and genetically obese and diabetic db/db mice, resulting in faster closure than Tegaderm wound dressing. Immunohistochemistry analyses showed LASE-histamine treatment enhanced wound repair involving mechanisms of neoangiogenesis, myofibroblast activation, transient epidermal EMT, and also improve healed skin biomechanical strength which are hallmarks of improved healing outcomes. Benefit of temporal delivery was further investigated of a second therapeutic (growth factor nanoparticles) in modulating wound healing outcomes in both acute and diabetic wounds. The hypothesis of temporal delivery of second therapeutic around the ‘transition period’ in wounds further improved wound closure kinetics and biomechanical recovery of skin strength. Laser sealing and approximation, together with delivery of immunomodulatory mediators, can lead to faster healing and tissue repair, thus reducing wound dehiscence, preventing wounds moving towards chronicity and lowering incidence of surgical site infections, all of which can have significant impact in the clinic.
ContributorsGhosh, Deepanjan (Author) / Rege, Kaushal (Thesis advisor) / Acharya, Abhinav (Committee member) / Holloway, Julianne (Committee member) / DiCaudo, David (Committee member) / P. Leung, Kai (Committee member) / Arizona State University (Publisher)
Created2021
Description
Information processing in the brain is mediated by network interactions between anatomically distant (centimeters apart) regions of cortex and network action is fundamental to human behavior. Disruptive activity of these networks may allow a variety of diseases to develop. Degradation or loss of network function in the brain can affect many aspects of the human experience; motor disorder, language difficulties, memory loss, mood swings, and more. The cortico-basal ganglia loop is a system of networks in the brain between the cortex, basal ganglia, the thalamus, and back to the cortex. It is not one singular circuit, but rather a series of parallel circuits that are relevant towards motor output, motor planning, and motivation and reward. Studying the relationship between basal ganglia neurons and cortical local field potentials may lead to insights about neurodegenerative diseases and how these diseases change the cortico-basal ganglia circuit. Speech and language are uniquely human and require the coactivation of several brain regions. The various aspects of language are spread over the temporal lobe and parts of the occipital, parietal, and frontal lobe. However, the core network for speech production involves collaboration between phonologic retrieval (encoding ideas into syllabic representations) from Wernicke’s area, and phonemic encoding (translating syllables into motor articulations) from Broca’s area. Studying the coactivation of these brain regions during a repetitive speech production task may lead to a greater understanding of their electrophysiological functional connectivity. The primary purpose of the work presented in this document is to validate the use of subdural microelectrodes in electrophysiological functional connectivity research as these devices best match the spatial and temporal scales of brain activity. Neuron populations in the cortex are organized into functional units called cortical columns. These cortical columns operate on the sub-millisecond temporal and millimeter spatial scale. The study of brain networks, both in healthy and unwell individuals, may reveal new methodologies of treatment or management for disease and injury, as well as contribute to our scientific understanding of how the brain works.
ContributorsO'Neill, Kevin John (Author) / Greger, Bradley (Thesis advisor) / Santello, Marco (Committee member) / Helms Tillery, Stephen (Committee member) / Papandreou-Suppapola, Antonia (Committee member) / Kleim, Jeffery (Committee member) / Arizona State University (Publisher)
Created2021
Description
Tissues within the body enable proper function throughout an individual’s life. After severe injury or disease, many tissues do not fully heal without surgical intervention. The current surgical procedures aimed to repair tissues are not sufficient to fully restore functionality. To address these challenges, current research is seeking new tissue engineering approaches to promote tissue regeneration and functional recovery. Of particular interest, biomaterial scaffolds are designed to induce tissue regeneration by mimicking the biophysical and biochemical aspects of native tissue. While many scaffolds have been designed with homogenous properties, many tissues are heterogenous in nature. Thus, fabricating scaffolds that mimic these complex tissue properties is critical for inducing proper healing after injury. Within this dissertation, scaffolds were designed and fabricated to mimic the heterogenous properties of the following tissues: (1) the vocal fold, which is a complex 3D structure with spatially controlled mechanical properties; and (2) musculoskeletal tissue interfaces, which are fibrous tissues with highly organized gradients in structure and chemistry. A tri-layered hydrogel scaffold was fabricated through layer-by-layer stacking to mimic the mechanical structure of the vocal fold. Furthermore, magnetically-assisted electrospinning and thiol-norbornene photochemistry was used to fabricate fibrous scaffolds that mimic the structural and chemical organization of musculoskeletal interfacial tissues. The work presented in this dissertation further advances the tissue engineering field by using innovative techniques to design scaffolds that recapitulate the natural complexity of native tissues.
ContributorsTindell, Raymond Kevin (Author) / Holloway, Julianne (Thesis advisor) / Green, Matthew (Committee member) / Pizziconi, Vincent (Committee member) / Stephanopoulos, Nicholas (Committee member) / Acharya, Abhinav (Committee member) / Arizona State University (Publisher)
Created2021