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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
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.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |