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Bioimaging and Biomedical Optics Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Bioimaging and Biomedical Optics
Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari
Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari
Bioengineering Theses
This study investigates adversarial vulnerabilities in deep learning models for biomedical time-series classification across two clinically important modalities: electrocardiography (ECG) and electroencephalography (EEG). Using the MIT-BIH Arrhythmia and CHB-MIT seizure datasets, I evaluate time-domain attacks (FGSM, PGD), Fourier-domain constrained attacks, and learned spectral perturbations designed to reveal modality-specific sensitivity patterns. Across both tasks, a consistent trend emerges low-frequency components (0–5 Hz) constitute a dominant axis of adversarial vulnerability, with perturbations in this range producing the steepest degradation in classification performance. In ECG models, protecting the physiologically relevant QRS band (5–20 Hz) significantly improves robustness, whereas EEG models remain highly sensitive …
Early Detection And Objective Assessment Of Neonatal Hypoxic-Ischemic Encephalopathy Severity, Soheila Norasteh
Early Detection And Objective Assessment Of Neonatal Hypoxic-Ischemic Encephalopathy Severity, Soheila Norasteh
Bioengineering Dissertations
Hypoxic–ischemic encephalopathy (HIE) is a neonatal brain injury caused by reduced oxygen and blood flow to the brain around the time of birth. It remains a major cause of neonatal mortality and long-term neurodevelopmental impairment worldwide. Therapeutic hypothermia is the standard treatment for moderate-to severe HIE and improves outcomes when initiated within the first six hours of life. Therefore, accurate assessment of injury severity during this period is essential. Cur rently, HIE severity is determined primarily through neurological examination and classified as mild, moderate, or severe. However, these examinations are subjective, cannot provide continuous monitoring of brain function, and may …
Optimal Tissue Clearing Of Gastric Cancerous Organoids Imaged Via High Resolution Light Sheet Microscopy, Lauren D. Lieu
Optimal Tissue Clearing Of Gastric Cancerous Organoids Imaged Via High Resolution Light Sheet Microscopy, Lauren D. Lieu
2025 Fall Honors Capstones Projects - Archive
While the rate of surviving a myocardial infarction has increased in the past 60 years from 60% to 90%, the rate of Americans developing chronic heart disease such as heart failure, arrhythmias, and hypertensive heart disease has risen. This has led to the development of imaging technology such as Light Sheet Microscopy (LSM) and Light Field Microscopy (LFM) to study heart contractility and congenital heart disease via models such as cancerous organoids or Zebrafish. However, LSM and LFM results are highly dependent on the quality of the staining and cleared samples. This study looks to add to the growing field …
Emotion Processing In Adolescents With Epilepsy And Healthy Controls Using Multi-Modal Neuroimaging, Frances Kathryn E. King
Emotion Processing In Adolescents With Epilepsy And Healthy Controls Using Multi-Modal Neuroimaging, Frances Kathryn E. King
Bioengineering Dissertations - Archive
Epilepsy is increasingly recognized as a disorder not only of seizures but also of widespread network dysfunction, impacting cognitive and emotional processing. One critical cognitive process affected in epilepsy is emotional conflict processing, which relies on the interplay of multiple brain networks. However, the spatiotemporal dynamics of emotional conflict processing in epilepsy, particularly in adolescents, have remained poorly understood. This dissertation investigated the neural mechanisms underlying emotional conflict processing in typically developing adolescents and adolescents with epilepsy using magnetoencephalography (MEG). The first study elucidated the spatiotemporal profile of emotional conflict processing in 24 typically developing adolescents using magnetoencephalography (MEG). Cluster-based …
Algorithm Development For Analysis Of Optical Time-Series Data Generated By Biomodal Optical-Electrical Nanopore Sensor, Yu-Shiuan Huang
Algorithm Development For Analysis Of Optical Time-Series Data Generated By Biomodal Optical-Electrical Nanopore Sensor, Yu-Shiuan Huang
Bioengineering Theses - Archive
Nanopore biosensors have played an essential role in the scientific investigation of DNA, RNA, proteins, and other bio-analytes. Traditional nanopore biosensors detect variations in electrical current conductance caused by the analyte blocking the current passing transiently through a nano-sized aperture, i.e., the nanopore. This electrical data provides information about the amount of current blockage when the analyte is inside the nanopore and the time it takes for analytes to travel through the nanopore (translocation time). The translocation time of analytes in standard nanopore measurements is typically very short, usually tens of microseconds, limiting the accuracy of measuring the analytes’ characteristics. …
Computational And Experimental Analysis Of Silica Nanoparticles Under Dc And Ac Electric Fields Using A Self-Induced Back Action Actuated Nanopore Electrophoresis (Sane) Sensor, Homayoun Asadzadeh, Scott Renkes, George Alexandrakis, Minjun Kim, Scott Turpin
Computational And Experimental Analysis Of Silica Nanoparticles Under Dc And Ac Electric Fields Using A Self-Induced Back Action Actuated Nanopore Electrophoresis (Sane) Sensor, Homayoun Asadzadeh, Scott Renkes, George Alexandrakis, Minjun Kim, Scott Turpin
Bioengineering Dissertations - Archive
In this dissertation I have studied a novel single-molecule nanosensor that integrates a Solid-State Nanopore (SSNP), milled in silicon nitride with a Double Nanohole (DNH) nanoaperture, milled in gold. This device leverages Self-Induced Back-Action (SIBA) for optical trapping with ssNP electrical sensing and is called the SIBA-Actuated Nanopore Electrophoresis (SANE) sensor. My lab has previously shown that simultaneous acquisition of bimodal optical and direct current (DC) electrical signatures enables more detailed characterization of nanoscopic analytes compared to using electrical data alone, which are typically collected by ssNP sensors. In this work I have first studied by COMSOL Multiphysics simulations the …
An In-Vitro Model For Visualizing Intraocular Lens And Lens Capsule Interaction In Posterior Capsule Opacification, Amjad Chatila
An In-Vitro Model For Visualizing Intraocular Lens And Lens Capsule Interaction In Posterior Capsule Opacification, Amjad Chatila
Bioengineering Dissertations - Archive
Posterior Capsule Opacification (PCO) is a common complication post cataract surgery. It is believed that Intraocular Lens (IOL) physical and chemical properties would affect their PCO potential. The tight binding between IOL and posterior lens capsule (PLC) is believed to have a negative impact on PCO formation, as suggested in the “No space, no cell, no PCO” hypothesis. To test the hypothesis, we have recently developed an in vitro 3D system to simulate IOL and PLC physical interaction. To expand the function and capability of this system, one objective of my work was to develop the next generation adhesion force …