Wavefront Sensor Market: Introduction
Transparency Market Research delivers key insights on the global wavefront sensor market. In terms of revenue, the global wavefront sensor market is estimated to expand at a CAGR of ~25% during the forecast period, owing to numerous factors, regarding which TMR offers thorough insights and forecasts in its report on the global wavefront sensor market.
A wavefront sensor is a device used for measuring the aberrations of an optical wavefront. Wavefront sensors are used in consumer, biomedical, military & defense, and industrial & manufacturing end-use industries, and in communication fields to measure the wavefront distortion in camera lenses, head-mounted displays, 3D printing, and free-space optical communication, among others. Wavefront sensors are largely used in biomedical microscopy to diagnose individual cells accurately. Thus, the demand for wavefront sensors is projected to rise across the globe in the near future with the growing trend of making novel biomedical microscopes and camera lenses to perform operations precisely, quickly, and safely. The adoption of technologically advanced, accurate wavefront sensors has increased in the military & defense sector with the introduction of new technologies and innovations, thereby creating lucrative opportunities for the global wavefront sensor market.
The global wavefront sensor market has been broadly segmented into type and end-use industry. Based on type, the market has been divided into Shack-Hartmann wavefront sensor, wavefront curvature sensor, pyramid wavefront sensor, common path interferometer, and multilateral shearing interferometer. Based on end-use industry, the market has been segregated into consumer (head-mount displays, camera lenses, and others), biomedical (ophthalmology, biomedical microscopy, cell analysis, and others), military & defense (laser defense system, biometric security, surveillance, and others), industrial & manufacturing (precision manufacturing, machine vision, 3D printing, and others), and communication & others (free-space optical communication, sensing, and others). Among types, the Shack-Hartmann wavefront sensor segment holds significant market share and is anticipated to expand at a rapid pace during the forecast period. This can be attributed to significant use of Shack-Hartmann wavefront sensors in biomedical microscopy, biometric security, and surveillance applications.
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Wavefront Sensor Market: Dynamics
The use of wavefront sensors in medical microscopy plays a vital role in scientific research studies in multiple universities across the globe. For instance, a team of scientists at the Hong Kong University of Science and Technology developed an adaptive optics two-photon excitation fluorescence microscopy for high-resolution in vivo fluorescence imaging of mouse retina by using direct wavefront sensing.
Fluorescence microscopy is useful to study the properties of organic or inorganic substances accurately and effectively. Thus, adoption of wavefront sensors in biomedical microscopy is significantly high, which is expected to drive the global wavefront sensor market during the forecast period.
In recent decades, the semiconductor industry has undergone multiple changes; among these, miniaturization in semiconductor technology has made a significant contribution to the success of modern electronics in many fields. Digital Light Processing (DLP) is a 3D printing process, and a type of vat polymerization where a projector is used to cure photopolymer resin. DLP 3D printers have faster build speeds due to a single layer being created in one singular digital image. In September 2018, Sprybuild, a Ukrainian 3D printing startup developed and filed a patent for a new continuous DLP 3D printing technology called CPWC (Continuous Production with Wavefront Converting), which is used to build the fastest DLP 3D printers in the world. Thus, rise in the use of faster build speed DLP 3D printers has spurred the demand for wavefront sensors, which is expected to bolster the growth of the market during the forecast period.
Read More: https://www.biospace.com/article/ai-in-medical-imaging-covid-19-game-changer-in-healthcare-sector/
