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We present a new, to the best of our knowledge, approach for self-heterodyne optical frequency comb (OFC) spectroscopy in which a single Mach-Zehnder modulator is utilized to generate both an optical frequency comb and a frequency-shifted local oscillator. This method allows for coherent, time-domain averaging to be performed without the need for feedback mechanisms or software corrections. As an initial demonstration, we have measured acetylene rovibrational transition frequencies with coherently averaged comb spectra.
View Article and Find Full Text PDFDevelopment of a Zynq-Based Seismic Acquisition Station for the Exploration of Antarctic Subglacial Lakes.
Sensors (Basel)
November 2024
School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Article Synopsis
- The Antarctic region is under-researched regarding seismic exploration methods for subglacial lakes, highlighting a gap compared to other continents.
- A new seismic acquisition station designed using a Zynq-based system offers features like low power consumption, cold resistance, and real-time control for polar exploration.
- Valid tests demonstrated the system's stability and usability, with advanced technology like a neural network improving data accuracy in extreme temperatures.
Corrigendum: Microfluidic-based human prostate-cancer-on-chip.
Front Bioeng Biotechnol
November 2024
Department of Aerospace and Mechanical Engineering, Tucson, AZ, United States.
[This corrects the article DOI: 10.3389/fbioe.2024.
View Article and Find Full Text PDFA Piezoresistive-Sensor Nonlinearity Correction on-Chip Method with Highly Robust Class-AB Driving Capability.
Sensors (Basel)
October 2024
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Article Synopsis
- This paper discusses the design of a Class-AB power amplifier specifically for correcting nonlinearity in pressure-mode sensor applications, utilizing advanced circuit techniques to boost gain and maintain stability.
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Integrating machine learning and biosensors in microfluidic devices: A review.
Biosens Bioelectron
November 2024
Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy. Electronic address:
Microfluidic devices are increasingly widespread in the literature, being applied to numerous exciting applications, from chemical research to Point-of-Care devices, passing through drug development and clinical scenarios. Setting up these microenvironments, however, introduces the necessity of locally controlling the variables involved in the phenomena under investigation. For this reason, the literature has deeply explored the possibility of introducing sensing elements to investigate the physical quantities and the biochemical concentration inside microfluidic devices.
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