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This Microscope is an augmented reality microscope since adding extra information to the original image is known as augmented reality. The ARM is application-agnostic and can be used in other microscopy applications, even though we use it to diagnose cancer in this paper.
A new route to digital pathology is offered by augmented reality microscopy (ARM).
ARM provides a cost-effective method for gaining access to and seeing digital pathology applications immediately within your microscope by doing away with the requirement to use pricey and time-consuming scanners to collect an image prior to digital analysis.
Despite the claims that artificial intelligence (AI) will increase access to and the caliber of healthcare, the expense of pathology image digitization and the challenges of implementing AI solutions continue to stand in the way of their practical application.
The Global Augmented reality microscope market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
A group of Google researchers have created a microscope that uses machine learning (ML) and augmented reality (AR) to detect cancer in real time and potentially save millions of lives.
A prototype Augmented Reality Microscope (ARM) platform from Google was regarded as having the potential to speed up and democratize pathologists’ adoption of deep learning capabilities globally.
The device is made up of a customized light microscope that enables in-field presentation of ML algorithm results and real-time picture processing. Without the need for complete slide digital replicas of the tissue being analyzed, the ARM can be installed into current light microscopes anywhere across the world.
The ARM can theoretically deliver a wide range of visual feedback, It is capable of running a variety of machine learning algorithms designed to address various issues including object detection, quantification, or classification. Text, arrows, contours, heatmaps, or animations are all supported.