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Date of Award

8-2020

Author's School

McKelvey School of Engineering

Author's Department

Electrical & Systems Engineering

Degree Name

Master of Science (MS)

Degree Type

Thesis

Abstract

Localizing photon arrivals with high spatial (megapixel) and temporal (sub-nanosecond) resolution would be transformative for a number of applications, including single-molecule super-resolution fluorescence microscopy. Here, the Data Processing Field Programmable Gate Array (FPGA) is developed as an ultra-fast computational platform built on an FPGA for a microchannel plate (MCP)-photomultiplier tube (PMT) based single-photon counting camera. Each photon is converted by the MCP-PMT into an electron cloud that generates current pulses across a 50×50 cross-strip anode. The Data Processing FPGA executes a massively parallel center-of-gravity coordinate determination algorithm on the digitized current pulses to determine a 2D position and time of arrival for each charge cloud. The coordinates are relayed to a computer via a Gigabit Ethernet link. The system achieves a local photon throughput of 1.04 MHz. If photons arrive continuously with an average spacing of 1.5 μs across a 10×10 portion of the cross-strip anode, the system accurately localizes photons in both space and time and achieves a spatial precision of 4.1 μm (62 times smaller than the anode pitch) and a temporal precision of 55 ps (at 500 MHz digitization).

Language

English (en)

Chair

Bruno Sinopoli

Committee Members

Matthew D. Lew, Shantanu Chakrabartty, Ed Richter

Available for download on Thursday, March 18, 2021

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