Macroscopic Imaging Market Set to Garner Staggering Revenues by 2027

Global Macroscopic Imaging Market: Introduction

Medical imaging forms a key part in clinical diagnosis. Previously, it was in the domain of hospital radiology department. However, in the past few years, medical imaging is being extensively used in neurology, cardiology, and cancer centers. Depending on application, various types of imaging systems are available in the market. X-ray, gamma ray, ultraviolet, and ultrasonic imaging systems are used in biomedical instrumentation. Medical image processing encompasses a wide and varied field of applications, even in areas where human vision cannot function.

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One of the simplest ways to develop a basic understanding of the extent of medical image processing applications is to categorize images according to the source. Imaging using sound finds application in geological exploration, industry, and medicine. Geological applications use sound in the low end of the sound spectrum, while imaging in other areas use ultrasound. While classical macroscopic imaging provides some of the most important ‘individualized’ information on many diseases namely their localization and extent its value for determining the specific aetiology is sometimes limited.

Final diagnosis within an acceptable degree of uncertainty is usually possible based on a combination of clinical, biochemical and imaging information. Such information can be obtained by ex vivo analysis of tissue, and image-guided tissue sampling provides the means to target and investigate specific areas of the lesions.

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Global Macroscopic imaging Market: Competitive Landscape


3DHISTECH provides clinical pathologists, researchers, and universities with digital pathology solutions to facilitate quick and accurate diagnostics, supporting medical discoveries, and fostering education. Founded in 1996, 3DHISTECH is the first European manufacturer of digital pathology devices and one of the global market leaders with nearly 1500 systems sold.

PerkinElmer, Inc.

PerkinElmer collaborates with scientists, researchers, and clinicians to address their most critical challenges across science and health care. The company focuses on innovating for a healthier world and delivering unique solutions to serve the diagnostics, life sciences, food, and applied markets. Research scientists can gain significant insights into the complexities of biology and disease with the company’s powerful imaging platforms. Be it cellular or in vivo imaging, these solutions enable measurement of cellular and biological events, providing information rich datasets to streamline and accelerate basic research and drug discovery.

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SPOT Imaging, a division of Diagnostic Instruments, Inc.

SPOT Imaging manufactures scientific cameras and life science imaging systems for pathology, bioresearch, and OEM applications. The systems are recognized globally for easy to use workflow, excellent performance, and high reliability. SPOT Imaging continues to provide the biomedical research and clinical markets with the latest robust high performance imaging solutions to meet their rising needs. SPOT Imaging was founded in 1967 and is headquartered in Sterling Heights, Michigan, the U.S.

Global Macroscopic Imaging Market: Dynamics

Increase in Demand for Macroscopic Imaging

Medical imaging refers to the techniques and processes used to create images of the human body (or parts thereof) for various clinical purposes such as medical procedures and diagnosis or medical science including the study of normal anatomy and function. With the growth of computers and image technology, medical imaging has greatly influenced the medical field. Novel macroscopic and molecular imaging techniques will form the cornerstone of personalized diagnosis in the near future.

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Surge in Awareness in Health Care Sector

The healthcare industry is one of the most prominent sectors of the country. According to CDC statistics, heart disease account for 600,000 deaths in the U.S. every year. The disease burden on a growing and aging population, economic development, and increase in health awareness drive the health care sector.

After the success of deep learning in other real world application, it is also providing exciting solutions with good accuracy for medical imaging and is seen as a key method for future applications in health sector. Automated detection of diseases based on conventional methods in medical imaging has been shown significant accuracies around for decades, but new advances in machine learning techniques have ignited a boom in the deep learning.

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