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Automated imaging system analysis extracts data from digital photographs using specially crafted software. In order to acquire quantitative data for subsequent data analysis, algorithms identify specific features and patterns in the photos.
This technology, which enables researchers to evaluate hundreds or even thousands of samples in a fraction of the time that it would take a person to do the same, has substantially benefited the pharmaceutical and biological research industries.
One part of a broader automated system known as High Content Screening (HCS) or High Throughput Microscopy is automated image analysis (HTM).
These systems can collect thousands of biological samples and process them through an experiment’s sample preparation, treatment, and imaging phases. A digital microscope is used to image the samples, and it takes digital pictures of them.
After that, the digital photos are gathered and saved before being given to the system for image analysis. Pixels are the hundreds of microscopic squares that make up digital images. There are certain values allocated to each pixel.
The size, pattern, and shape of the objects that make up the image are all determined by IA using this pixel information.
Massive amounts of time are spent collecting data by researchers. A person would typically go over each sample individually, evaluate and measure the sample’s characteristics, and then record the quantitative or qualitative results. After then, a database would be used to store and analyze these values.
A powerful computer that can process big image files is needed for image analysis. A computer that can process data quickly is necessary since algorithms can be complex and produce large amounts of data.
A sizable memory bank is needed in order to store both the photos and the data. This is frequently offered as a server or other dedicated external storage device for photography.
The computer will need access to the storage device where the images to be examined are stored if the image analysis system is a component of an automated pipeline.
The image analysis system can, of course, exist independently of the pipeline. In this instance, the user will supply digital photographs on a storage media to the image analysis software.
The Global Automated imaging system 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.
The first system based on the ground-breaking, all-in-one Orbotech Corus platform, the new Orbotech Corus 8M Automated imaging system was unveiled by KLA Corporation.
It combines the functionality and automation of a complete direct imaging manufacturing line in a closed, tidy, and small unit.
The expandable Orbotech Corus DI platform is exceptional in its ability to offer extremely efficient double-sided imaging in a fully automated solution geared for high throughput and capacity. It provides higher resolution with great precision to pattern finer lines.
