MICROSCOPY & IMAGING
INTELLIGENT DESIGN Andrew Williams reports on AI-enhanced microscopy techniques
microscopy techniques. So, how do such techniques work? And what are the key applications?
S
AUGMENTED REALITY One of the most interesting recent developments is at Google Brain, where a team is currently engaged in the development of an augmented reality microscope with real-time artifi cial intelligence integration for cancer diagnosis. As Cameron Chen, a member
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everal organisations around the world are in the process of creating innovative artifi cial intelligence (AI) enabled and AI-enhanced
of the Google Brain team working on machine learning and deep learning with applications to healthcare, explains, the microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer and guides subsequent therapy choices. However, these assessments demonstrate ‘considerable variability’ and many regions of the world lack access to trained pathologists. Moreover, although AI promises to improve access to and quality of healthcare, Chen stresses that the costs of image digitisation in pathology and diffi culties in deploying AI solutions ‘remain as barriers to real- world use.’
In an eff ort to remedy this situation,
the Google Brain team proposes the use of an augmented reality microscope (ARM) as a cost-eff ective solution. T e ARM overlays AI-based information onto the current view of the sample in real time, enabling seamless integration of AI into routine workfl ows. “We have demonstrated the utility of ARM in the detection of metastatic breast cancer and the identifi cation of prostate cancer, with latency compatible with real- time use – and anticipate that the ARM will remove barriers towards the use of AI designed to improve the accuracy and effi ciency of cancer diagnosis,” says Chen.
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