Literature DB >> 31051730

Inexpensive telecytology solutions that use the Raspberry Pi and the iPhone.

Radu Dudas1, Christopher VandenBussche1, Alex Baras1, Syed Z Ali2, Matthew T Olson3.   

Abstract

INTRODUCTION: There is currently substantial interest in dynamic telecytology-the presentation of microscopic findings by live video feed to a cytopathologist at a remote location. However, the initial costs of a telecytology system can be high. We present several low-cost alternatives along with their performance characteristics.
MATERIALS AND METHODS: We tested 3 low-cost telecytology systems: a Raspberry Pi with a webcam, an iPhone 4S with FaceTime, and an iPhone 4S with a live streaming app. Costs, resolution capacities, and latency periods for image transmission were determined.
RESULTS: At $85.55, the Raspberry Pi system is the least expensive telecytology solution described to date. When the cost per megapixel of resolution is considered, the cost of a Raspberry Pi system is 120× less than the most expensive commercially available option and about 7-fold less than the iPhone-based alternatives. Latency periods were substantially lower for the iPhone systems: 2.5 ± 1 seconds for FaceTime and 2.8 ± 0.3 seconds for iPhone live streaming versus 6.6 ± 0.6 seconds for the Raspberry Pi system at comparable frame rates.
CONCLUSIONS: This proof-of-principle study demonstrates that inexpensive telecytology systems are able to stream live video feeds of cytology slides from a microscope to a remote location at useable resolutions.
Copyright © 2014 American Society of Cytopathology. Published by Elsevier Inc. All rights reserved.

Keywords:  Fine-needle aspiration; On-site evaluation of adequacy; Rapid on-site evaluation; Telecytology; Telecytopathology; Telemicroscopy

Year:  2013        PMID: 31051730     DOI: 10.1016/j.jasc.2013.09.005

Source DB:  PubMed          Journal:  J Am Soc Cytopathol        ISSN: 2213-2953


  2 in total

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2.  CAREDAQ: Data acquisition device for mechanical ventilation waveform monitoring.

Authors:  Qing Arn Ng; Christopher Yew Shuen Ang; Yeong Shiong Chiew; Xin Wang; Chee Pin Tan; Mohd Basri Mat Nor; Nor Salwa Damanhuri; J Geoffrey Chase
Journal:  HardwareX       Date:  2022-09-06
  2 in total

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