"Optical and Electrical Interfaces for Biological Structures" by Mehdi Bandali

Publication Date

12-2023

Date of Final Oral Examination (Defense)

10-26-2023

Type of Culminating Activity

Dissertation

Degree Title

Doctor of Philosophy in Electrical and Computer Engineering

Department Filter

Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Supervisory Committee Chair

Benjamin C. Johnson, Ph.D.

Supervisory Committee Member

Kurtis Cantley, Ph.D.

Supervisory Committee Member

Nader Rafla, Ph.D.

Supervisory Committee Member

Alyosha C. Molnar, Ph.D.

Abstract

This dissertation presents novel solutions for recording optical and electrical data from biological structures. CHAPTER ONE discusses the 16×16 Time correlated SPAD image array I developed in a 180 nm HV CMOS process for single-molecule localization super-resolution microscopy (SRM). This image array has a maximum frame rate of 80 MHz and a fill factor of 17.4 %. To demonstrate SRM with this imaging array, we localized gold nanoparticle displacement at 40 nm. CHAPTER TWO discusses stimulation artifacts' time and frequency domain characteristics and potential strategies for canceling this interference on neural recording. CHAPTER THREE discusses an artifact-resilient neural recording front-end for local field potential (LFP) and spike rate sensing with rail-to-rail common mode (CM) and differential mode (DM) electrode DC offset (EDO) correction and instant artifact recovery. This front-end enables memoryless sampling for artifact mitigation using a continuous-time incremental sigma-delta (IΣ∆) topology. We integrated this front end with a bipolar arbitrary stimulation system on the chip to enable a bidirectional neural interface. CHAPTER FOUR discusses an implantable Voltage-to-Time Converter (VTC) based analog front end for peripheral nerve sensing. We co-designed this front-end with a galvanic interface to transmit data to a wearable wirelessly. The data are encoded in time-domain pulses to relax the wireless link's data rate and power constraint.

DOI

https://doi.org/10.18122/td.2147.boisestate

Available for download on Monday, December 01, 2025

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