GLOBAL IMAGE-BASED DRUG DISCOVERY PROCESSOR MARKET

INTRODUCTION

 With the use of a new technique called Image-Based Drug Discovery Processor the wealth of data contained in biological images is condensed into a multidimensional profile, or a set of extracted image-based attributes.

For several steps in the drug development process, these profiles can be mined for pertinent patterns that suggest unexpected biological activity. Applications of this category include understanding disease mechanisms, discovering disease-associated screenable phenotypes, and forecasting the activity, toxicity, or mechanism of action of a medicine.

Many of these applications have recently entered production mode in both academia and the pharmaceutical sector after being validated. Some of them have had mixed outcomes in the real world, but interest in them has recently increased because of enhanced machine learning techniques that make greater use of image-based data.

Despite ongoing difficulties, new computational techniques like deep learning better capture the biological information in images hold promise for accelerating drug discovery.

GLOBAL IMAGE-BASED DRUG DISCOVERY PROCESSOR MARKET SIZE AND FORECAST

The Global Image-Based Drug Discovery Processor 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.

NEW PRODUCT LAUNCH

Using the CSU confocal scanner, Yokogawa  has been creating a prototype for an Image-Based Drug Discovery Processor. The most fundamental unit of all living organisms, cells, are administered chemical compounds that could be drug candidates.

This system then uses a highly sensitive CCD camera and the CSU confocal scanner to record changes in the amount and localization of target molecules inside cells, processing and quantifying the high-resolution image data. With the use of this screening technique\.

, drug candidates can be identified in living cells as well as drug efficacy and adverse drug reactions of chemical constituents. The image processing technique Yokogawa created for the first version of a genomic drug test assistance system.

Cultured cells are sown on a 96-well or 384-well micro well plate for genuine specimens. After being given different chemical ingredient concentrations, they are fluorescently coloured in order to detect morphological changes, etc.

The Image-Based Drug Discovery Processor from Yokogawa (using CSU) has the following characteristics. Confocal pictures are taken of the light-filled cross sections of cells.

This characteristic makes it possible to clearly see the minute cell architecture. So, it is possible to measure intracellular granules precisely.The photos of cell cross sections can be stacked to create three-dimensional images.

Neurites’ complex structure can also be seen clearly.The confocal system from Yokogawa offers little fluorescence photobleaching, allowing for continuous long-term monitoring. It is possible to watch how living cells change dynamically thanks to this function.

COMPANY PROFILE

• IBM Corporation
• Exscientia
• Deep Genomics
• Cloud Pharmaceuticals
• Microsoft Corporation

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many Image-Based Drug Discovery Processor are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a Global Image-Based Drug Discovery Processor and key vendor selection criteria
3. Where is the Image-Based Drug Discovery Processor manufactured? What is the average margin per unit?
4. Market share of Global Image-Based Drug Discovery Processor market manufacturers and their upcoming products
5. Cost advantage for OEMs who manufacture Global Image-Based Drug Discovery Processor in-house
6. key predictions for next 5 years in Global Image-Based Drug Discovery Processor market
7. Average B-2-B Image-Based Drug Discovery Processor market price in all segments
8. Latest trends in Image-Based Drug Discovery Processor market, by every market segment
9. The market size (both volume and value) of the Image-Based Drug Discovery Processor market in 2023-2030 and every year in between?
10. Production breakup of Image-Based Drug Discovery Processor market, by suppliers and their OEM relationship