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Sensors
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Bioimaging and Biosensing in Telemedicine
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Bioimaging and Biosensing in Telemedicine

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 21928

Special Issue Editors

Prof. Dr. Aydogan Ozcan

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Guest Editor
Electrical and Computer Engineering and Bioengineering, Bioengineering Department, California NanoSystems Institute (CNSI), Department of Surgery, University of California, Los Angeles, CA, USA
Interests: computational optical imaging and sensing; mobile health; telemedicine; global health
Special Issues, Collections and Topics in MDPI journals
Dr. Hatice Ceylan Koydemir

E-Mail Website
Guest Editor
1. Department of Biomedical Engineering, Texas A&M University, 400 Bizzell St, College Station, TX 77843, USA
2. Center for Remote Health Technologies and Systems, Texas A&M University, 600 Discovery Dr, College Station, TX 77843, USA
Interests: micro-fabrication; lab-on-chip; biosensors; BioMEMS; non-invasive diagnostics
Special Issues, Collections and Topics in MDPI journals
Dr. Murat Baday

E-Mail Website
Guest Editor
Radiology, School of Medicine, Stanford University, Stanford, CA 94305, USA
Interests: diagnostics; imaging; SPR; telemedicine; plasmonics

Special Issue Information

Dear Colleagues,

Imaging systems are part of our everyday lives and everywhere with us in integrated mobile platforms such as smartphones, smartwatches, glasses, and some other wearables. These imaging systems have been integrated with optomechanical units, other sensors (e.g., gyroscopes), computational tools, and wireless connectivity to detect target analytes in bodily fluid samples and to monitor vital parameters, and even to measure the electrocardiogram of a patient at the point of care with substantial accuracy, transforming the mobile devices into personalized bioimaging and biosensing platforms.

This Special Issue aims to bring together the latest developments on the bioimaging and biosensing technologies in telemedicine from a wide range of applications. We therefore invite you to submit original research and review articles to this Special Issue to contribute to advances in engineering and biotechnology.

Topics of interest include but are not limited to the following:

  • Biomedical imaging
  • BioMEMS
  • Biosensors
  • Diagnostics
  • Imaging and detection
  • Implantable sensors
  • Ingestible sensors
  • Medical diagnostics
  • Microscopy
  • Portable imaging platforms
  • Translational medicine
  • Wearable sensors

Prof. Dr. Aydogan Ozcan
Dr. Hatice Ceylan Koydemir
Dr. Murat Baday
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Review

48 pages, 3863 KiB  
Review
Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone
by Maryamsadat Shokrekhodaei and Stella Quinones
Sensors 2020, 20(5), 1251; https://doi.org/10.3390/s20051251 - 25 Feb 2020
Cited by 131 | Viewed by 21118
Abstract
Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. [...] Read more.
Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy. Full article
(This article belongs to the Special Issue Bioimaging and Biosensing in Telemedicine)
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