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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Hyperspectral imaging sensors gather data in the form of a collection of pictures, enabling the identification of objects and materials based on the unique properties that collectively make up their spectral "fingerprint."
The components that make up the scanned region can be identified thanks to this "fingerprint" or spectral signature. Instead than only designating the three major colours (red, green, and blue) to each pixel, the hyperspectral imaging (HSI) technology examines a broad spectrum of light.
In order to provide additional details about what is depicted, the light striking each pixel is divided into a variety of spectral bands.
Military research produced the algorithms and image processing techniques utilised in HSI, which were primarily employed to distinguish targets and other objects from background clutter.
HSI has already been used for civil purposes, and satellite technology has benefited greatly from its use. It may develop into a rapid, efficient, low-cost tool for evaluating tissue states both before and after surgery.
A method called hyperspectral imaging (HSI) analyses a broad range of light. An individual object's distinct colour signature can be found using HSI. HSI is able to distinguish the entire colour spectrum in each pixel, unlike other optical technologies that can only scan for a single colour. Consequently, in addition to 2D spatial images, it also gives spectrum information.
Global hyperspectral photoluminescence imager market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Hyperspectral Photoluminescence Imager from Photon, among others, IMA PL The rapid and thorough IMA PLTM hyperspectral imaging system provides photoluminescent mapping with superior picture and data quality, from solar cells to living cells.
The Photon's salient characteristics, etc. Fast global mapping (non-scanning), Non-destructive analysis, and Customization are all included in IMA PL.Complete system, high spatial and spectral resolution (source, microscope, camera, filtre, software).
The IMA PL hyperspectral imager from Photon etc. is capable of producing high contrast images of biological samples like human breast cancer cells thanks to its very effective dark field condenser. Wide-field near-infrared hyperspectral imaging with IMA can be utilised to study single nanotube fluorescence and spectral heterogeneity in living systems spatially.
In vivo zebrafish endothelium, ex vivo murine tissues, and live mammalian cells all exhibited single nanotube spatial resolution that resolved up to 17 different species (chiralities).
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, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
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 |