Bulletin of the American Physical Society
2020 Annual Meeting of the APS Four Corners Section (Virtual)
Volume 65, Number 16
Friday–Saturday, October 23–24, 2020; Albuquerque, NM (Virtual)
Session M03: Industrial PhysicsLive
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Chair: Bob Wilson, Colorado State University |
Saturday, October 24, 2020 12:30PM - 12:42PM Live |
M03.00001: Characterizing Event-based Sensors for use with the Falcon Neuro Project Colin Maloney, David Howe Event-based sensors (EBS) feature a design based on biological sight, and have many potential applications, including in Space Domain Awareness (SDA). Event-based sensors utilize less power, have lower bandwidth requirements, possess higher temporal resolution, and have higher dynamic ranges than their traditional camera counterparts. Falcon Neuro is a system currently under development that aims to use an EBS system mounted on the International Space Station (ISS) to obtain recordings of sprites, lightning, and the limb and nadir views of Earth. Falcon Neuro will use two DAVIS 240C cameras with a custom field programmable gate array (FPGA) that will allow for a feasible data-transfer procedure on the International Space Station (ISS). To properly quantify the effects of this custom FPGA, we completed baseline testing with an independent DAVIS 240C camera by characterizing its frequency stimulus cutoff, threshold limitations, and noise to signal ratio performance. ~We also completed the same testing of the independent camera, but under space-like conditions by placing the camera in a vacuum chamber and cooling it down to near-zero Celsius. ~ We compare these results to that of the Falcon Neuro and discuss other potential applications of EBS. ~ [Preview Abstract] |
Saturday, October 24, 2020 12:42PM - 12:54PM Live |
M03.00002: New Algorithm for Small Volume, Fast, Accurate Blood Analysis (FABA) for Blood Diagnostics via Hand-Held XRF on Drops Rapidly Solidified into Uniform Thin Films Thilina Balasooriya, Wesley Peng, Nikhil Suresh, Aashi Gurijala, Mohammed Sahal, Nicole Herbots, Robert Culbertson, Eric Culbertson Comprehensive Blood Diagnostics (BD) uses mLs of blood, and hours to days for results. BD leads to a 74{\%} rate of a serious illness, Hospital-Acquired-Anemia, in chronically ill patients. In this work, a new, fast, portable, comprehensive Small Volume BD device, InnovaStrip [1], solidifies drops into Homogeneous Thin Solid Films (HTSF). Using micro-Ls, HTSFs yield electrolytes and metals levels to $+$/- 10{\%}, the medical standard, using Ion Beam Analysis and X-ray Fluorescence (XRF). Therefore, a new, Fast , Accurate Blood Analysis (FABA) [1] algorithm has to interface InnovaStrip with PCs/smartphones. FABA is developed initially for a low cost, hand-held XRF of HTSF App, called Fast Hand-Held Analysis for XRF(FHAX). Present XRF analysis software such as Spectra.Elements do not measure trace elements to $+$/- 10{\%} because curve fitting focuses large XRF signals for all elements, not small trace element signals [1]. FABA extracts actual Riemann sum of X-ray counts for each selected trace element. FABA yields fast (\textless 5 min), accurate BD to $+$/-10{\%} of blood electrolytes and metals, in mg/dL not atomic {\%} , via built-in HTSF of calibration solutions in InnovaStrip. [1] Balasooriya, Herbots, \textit{et al.} Pat. Pend. (2020) [Preview Abstract] |
Saturday, October 24, 2020 12:54PM - 1:06PM Live |
M03.00003: Alz-BioSs™: A New, Small Blood Volume, Hand-Held Bio-Sensor for detecting Alzheimer's Biomarkers Levels using Colorimetry Srivatsan Swaminathan, Shefali Prakash, Abbie Elison, Mohammed Sahal, Riley Rane, Lauren Puglisi, Eric Culbertson, Robert Culbertson, Nicole Herbots Nearly 44 million worldwide suffer from Alzheimer's. Diagnosing Alzheimer's and monitoring progression is key to treatment. Recently, blood Methyl-GlyOxal (MGO) levels were found to increase when patients develop Mild Cognitive Impairment (MCI) and Alzheimer's. Presently, no portable device measuring MGO exists. This work has designed a fast, accurate, hand-held colorimetric biosensor - akin to glucometers - called Alz-Bio-Ss\texttrademark [1]. The Alz-BioSs$^{\mathrm{TM}}$ device consists of three components. First, a disposable collection micro-fluidic strip separates plasma from a drop of blood.~ Second, plasma MGO reacts with two reagents, o-phenylene-diamine and citrate-capped gold nanoparticles. Third, a handheld colorimeter detects and quantifies MGO concentrations via photo-absorption from 500-700 nm LED emission and photodiodes. Alz-Bio-Ss\texttrademark can diagnose AD quickly and cheaply, unlike current methods such as cerebrospinal fluid analysis and brain imaging methods. It can diagnose MCI, not just Alzheimer's, allowing for early intervention to slow and possibly halt disease progression into full-fledged Alzheimer's. [1] Swaminathan, Herbots et al. Inter. {\&} US Pat. Pend. (2020) [Preview Abstract] |
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