Artificial intelligence software IMACELimage analysiscell imagingpathology macroscopic imaging
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Characteristics
- Function
- image analysis
- Applications
- cell imaging, pathology macroscopic imaging, for pharmaceutical research
- Type
- artificial intelligence, collaborative
- Other characteristics
- automated
Description
LPIXEL develops custom AI image analysis solutions to address any challenge in pharmaceutical or life science R&D that involves a visual element.
・Manual, visual inspection of imaging data or phenomena is laborious, repetitive, and time consuming. We automate the repetitive work so that researchers can focus on more important tasks.
・Image interpretation is often subjective and accuracy depends on the judgement, experience, and skill of individual researchers or technicians and suffers from poor reproducibility. We bring standardisation to these processes.
・Have a creative idea on how to use your imaging data? We develop novel imaging-based research methods by using AI to extract information and patterns from images in a way not possible by humans.
With over 10 years of experience, we support virtually any imaging modality or use case across all stages of the drug development value chain, from cell painting in drug discovery, to analysis of radiological scans in clinical trials, through to optimising CMC processes.
Maintaining a portfolio of over 100 successful collaborative projects including partnerships with leading global pharmaceutical companies, LPIXEL stands as a trusted partner in accelerating life science R&D.
Previous projects include:
Drug discovery:
・High content analysis (Phenotypic screening)
・iPS cell differentiation assessment (virtual staining)
Preclinical research:
・Toxicopathology (whole slide image)
・Animal Behaviour analysis (video analysis)
Clinical / SaMD co-development:
・Early detection of adverse drug events (radiology)
・Intraoperative surgical support (laparoscopy)
Manufacturing:
・Medicine vial / cell preparation QC
・Manual, visual inspection of imaging data or phenomena is laborious, repetitive, and time consuming. We automate the repetitive work so that researchers can focus on more important tasks.
・Image interpretation is often subjective and accuracy depends on the judgement, experience, and skill of individual researchers or technicians and suffers from poor reproducibility. We bring standardisation to these processes.
・Have a creative idea on how to use your imaging data? We develop novel imaging-based research methods by using AI to extract information and patterns from images in a way not possible by humans.
With over 10 years of experience, we support virtually any imaging modality or use case across all stages of the drug development value chain, from cell painting in drug discovery, to analysis of radiological scans in clinical trials, through to optimising CMC processes.
Maintaining a portfolio of over 100 successful collaborative projects including partnerships with leading global pharmaceutical companies, LPIXEL stands as a trusted partner in accelerating life science R&D.
Previous projects include:
Drug discovery:
・High content analysis (Phenotypic screening)
・iPS cell differentiation assessment (virtual staining)
Preclinical research:
・Toxicopathology (whole slide image)
・Animal Behaviour analysis (video analysis)
Clinical / SaMD co-development:
・Early detection of adverse drug events (radiology)
・Intraoperative surgical support (laparoscopy)
Manufacturing:
・Medicine vial / cell preparation QC
Catalogs
LPIXEL
8 Pages
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.