• Skip to primary navigation
  • Skip to main content
PATHS-UP

PATHS-UP

Precise Advanced Technologies and Health Systems for Underserved Populations

MENUMENU
  • About
        • About
        • Contact Us
        • Job & Research Board
  • People
        • People
        • PATHS-UP Faculty & Staff
        • Student Leadership Council
        • Paths-Up Leadership Team
        • Advisory Boards
          • Dean’s Council
          • Scientific Advisory Board
          • Workforce Development Advisory Board
  • News
  • Research
        • Research
        • Amplification biochips and implantable bar-code sensors | Thrust 1
          • T1 Publications
        • Mobile computational imaging and spectroscopy systems | Thrust 2
          • T2 Publications
        • Wearable sensing and imaging technologies | Thrust 3
          • T3 Publications
        • Remote bio-behavioral inference and patient response | Thrust 4
          • T4 Publications
        • Milestones
  • Industry
        • Industry
        • Join Us
        • Partners
        • Innovation Ecosystem Team
        • Innovation Seed Fund Program
  • Culture of Inclusion
        • Culture of Inclusion
        • Goal and Vision
        • Diversity and Inclusion Board
        • Equity, Diversity, and Inclusion Sessions
          • EDI Facilitators
        • Resources
  • Workforce Development
    • Workforce Development
      • Professional Development Activities
    • K-12
      • Research Experiences for Teachers (RET)
      • Young Scholars Program
    • Undergraduates
      • PATHS-UP Scholar Expectations
      • BS Engineering/Masters of Public Health Program
      • Vertically Integrated Projects (VIP) Program
      • Summer Research Experience for Undergraduates (REU)
    • Graduates
      • Experiential Learning Program for Graduate Students
      • Fellowship Funding Opportunities
  • Member Portal

April 2022 Publications

May 24, 2022

Our monthly PATHS-UP  publication list in April 2022.  Please read the abstracts below :

A touch-based multimodal and cryptographic bio-human–machine interface | PNAS

The awareness of the individuals’ biological status is critical for creating interactive environments. Accordingly, we devised a multimodal cryptographic bio-human–machine interface (CB-HMI), which seamlessly translates touch-based entries into encrypted biochemical, biophysical, and biometric indices (i.e., circulating biomarkers levels, heart rate, oxygen saturation level, and fingerprint pattern). As its central component, the CB-HMI features thin hydrogel-coated chemical sensors and a signal interpretation framework to access/interpret biochemical indices, bypassing the challenge of circulating analyte accessibility and the confounding effect of pressing force variability. Upgrading the surrounding objects with CB-HMI, we demonstrated new interactive solutions for driving safety and medication use, where the integrated CB-HMI uniquely enabled one-touch bioauthentication (based on the user’s biological state/identity), prior to rendering the intended services.

Enabling bioperception and interpretation via CB-HMI. (A) Illustration of the translation of the user’s touch-based entry into bio-inputs. (Right) Exploded view of the CB-HMI, including the TH-sensor component and corresponding signal interpretation framework. (B) CB-HMI’s operational workflow, including its augmentation with feedback mechanisms. (C) Conceptual illustration of an ecosystem of objects, equipped with CB-HMI and conventional HMIs (e.g., touchpad and camera), forming a smart surrounding.
Enabling bioperception and interpretation via CB-HMI. (A) Illustration of the translation of the user’s touch-based entry into bio-inputs. (Right) Exploded view of the CB-HMI, including the TH-sensor component and corresponding signal interpretation framework. (B) CB-HMI’s operational workflow, including its augmentation with feedback mechanisms. (C) Conceptual illustration of an ecosystem of objects, equipped with CB-HMI and conventional HMIs (e.g., touchpad and camera), forming a smart surrounding.
a. Overview of the proposed integrated platform. b. Workflow for an integrated MC simulator for analysis of heat dissipation and light propagation. c. The proposed AI-based algorithm for real-time monitoring of mice. d. Schematic illustration of the low-power wireless telemetry system for multi-wavelength operation (top). Two images represent demonstration of multichannel activation using a single power source (bottom, left) and multi-wavelength operation (bottom, right); scale bar 10 cm (left) and 1 cm (right).
a. Overview of the proposed integrated platform. b. Workflow for an integrated MC simulator for analysis of heat dissipation and light propagation. c. The proposed AI-based algorithm for real-time monitoring of mice. d. Schematic illustration of the low-power wireless telemetry system for multi-wavelength operation (top). Two images represent demonstration of multichannel activation using a single power source (bottom, left) and multi-wavelength operation (bottom, right); scale bar 10 cm (left) and 1 cm (right).

AI-enabled, implantable, multichannel wireless telemetry for photodynamic therapy | Nature Communications

Photodynamic therapy (PDT) offers several advantages for treating cancers, but its efficacy is highly dependent on light delivery to activate a photosensitizer. Advances in wireless technologies enable remote delivery of light to tumors, but suffer from key limitations, including low levels of tissue penetration and photosensitizer activation. Here, we introduce DeepLabCut (DLC)-informed low-power wireless telemetry with an integrated thermal/light simulation platform that overcomes the above constraints. The simulator produces an optimized combination of wavelengths and light sources, and DLC-assisted wireless telemetry uses the parameters from the simulator to enable adequate illumination of tumors through high-throughput (<20 mice) and multi-wavelength operation. Together, they establish a range of guidelines for effective PDT regimen design. In vivo Hypericin and Foscan mediated PDT, using cancer xenograft models, demonstrates substantial suppression of tumor growth, warranting further investigation in research and/or clinical settings.

A portable brightfield and fluorescence microscope toward automated malarial parasitemia quantification in thin blood smears | PLOS ONE

Malaria is often most endemic in remote regions where diagnostic microscopy services are unavailable. In such regions, the use of rapid diagnostic tests fails to quantify parasitemia measurements which reflect the concentration of Plasmodium parasites in the bloodstream. Thus, novel diagnostic and monitoring technologies capable of providing such information could improve the quality of treatment, monitoring, and eradication efforts. A low-cost, portable microscope for gathering quantitative parasitemia data from fluorescently stained thin blood smears is presented. The system employs bimodal imaging using components optimized for cost savings, system robustness, and optical performance. The microscope is novel for its use of monochromatic visible illumination paired with a long working distance singlet aspheric objective lens that can image both traditionally mounted and cartridge-based blood smears. Eight dilutions of red blood cells containing laboratory cultured wild-type P. falciparum were used to create thin smears which were stained with SYBR Green-1 fluorescent dye. Two subsequent images are captured for each field-of-view, with brightfield images providing cell counts and fluorescence images providing parasite localization data. Results indicate the successful resolution of sub-micron sized parasites, and parasitemia measurements from the prototype microscope display linear correlation with measurements from a benchtop microscope with a limit of detection of 0.18 parasites per 100 red blood cells.

(A) Layout of optical components in the portable microscope. CAD models of microscope: (B) optomechanical mounts and electronic control components, (C) extruded aluminum frame, and (D) fully encased prototype demonstrating clamshell design. (E) Final physical prototype microscope.
(A) Layout of optical components in the portable microscope. CAD models of microscope: (B) optomechanical mounts and electronic control components, (C) extruded aluminum frame, and (D) fully encased prototype demonstrating clamshell design. (E) Final physical prototype microscope.

Filed Under: News, Publications, Research

PATHS-UP Members

Texas A&M University
UCLA
Rice University
Florida International University

Evaluation Partner

Arizona State University

Funded By
NSF

Copyright © 2023 · Texas A&M Engineering Experiment Station · All Rights Reserved

Accessibility • Site Links & Policies • Privacy Policy • Website Feedback • Texas A&M University