Visualization 1: Line-scanning fiber bundle endomicroscopy with a virtual detector slit

Subtraction mode imaging on porcine esophageal tissue ex vivo Originally published in Biomedical Optics Express on 01 June 2016 (boe-7-6-2257

Media 1: Fiber bundle endocytoscopy

Originally published in Biomedical Optics Express on 01 December 2013 (boe-4-12-2781

Big Data for Health

This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled

Force over time for the initial six 30 second periods of use during the <i>in vivo</i> study.

<p>Use of the standard instrument is denoted by a grey background and use of the force-limiting instrument with a white background.</p

Maximum forces exerted by: intermediates and experts using the standard instrument; novices using the standard instrument; and novices using the force-limiting instrument.

<p>Points represent outliers (star greater than 3 times the interquartile range).</p

Laboratory performance of: novice surgeons versus intermediate and expert surgeons using the standard instrument; and novice surgeons using the standard versus force-limiting instrument.

<p>Laboratory performance of: novice surgeons versus intermediate and expert surgeons using the standard instrument; and novice surgeons using the standard versus force-limiting instrument.</p

<i>In vivo</i> performance of an intermediate surgeon using the standard versus force-limiting instrument.

<p><i>In vivo</i> performance of an intermediate surgeon using the standard versus force-limiting instrument.</p

Participant demographics.

<p>Participant demographics.</p

3D Printed Microfluidic Device with Integrated Biosensors for Online Analysis of Subcutaneous Human Microdialysate

This work presents the design, fabrication, and characterization of a robust 3D printed microfluidic analysis system that integrates with FDA-approved clinical microdialysis probes for continuous monitoring of human tissue metabolite levels. The microfluidic device incorporates removable needle type integrated biosensors for glucose and lactate, which are optimized for high tissue concentrations, housed in novel 3D printed electrode holders. A soft compressible 3D printed elastomer at the base of the holder ensures a good seal with the microfluidic chip. Optimization of the channel size significantly improves the response time of the sensor. As a proof-of-concept study, our microfluidic device was coupled to lab-built wireless potentiostats and used to monitor real-time subcutaneous glucose and lactate levels in cyclists undergoing a training regime

Media 3: Multispectral image alignment using a three channel endoscope in vivo during minimally invasive surgery

Originally published in Biomedical Optics Express on 01 October 2012 (boe-3-10-2567