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IMACEL Case Studies
AI Development Process
01
Consultation /
task setting
We work with our partners to understand their research objectives, clarify the challenges they face, and then identify the necessary data collection strategies processes to develop an effective AI model.
Whether you are aiming to improve operational efficiency, reduce workload, enhance evaluation accuracy, or develop new analytical methods — please feel free to contact us.
02
Proof of Concept
Using an initial dataset of several tens to several hundreds of samples, we provide a proof of concept AI model to verify the overall approach and identify tasks necessary to facilitate full-scale AI implementation.
03
Full Development
We refine the AI models developed during the PoC phase and develop systems for practical use in real business operations. Implementation timelines, costs, and deployment methods are flexible and determined by the partner’s specific requirements—please feel free to consult with us. It is also possible to easily deploy the AI model on our proprietary IMACEL Platform.
04
Operation
The AI is deployed and LPIXEL provides support and maintenance, including model refinement. (Please note that any significant changes in specifications or major model adjustments will be handled as a new development project).
Case Studies
Support Case#01
Phenotypic Screening
～Identifying candidate compounds via cell morphology analysis～
Support Case#02
Automated fluorescent multiplex immunohistochemistry image analysis
～Applied to anticancer drug research and development (R&D) and spatial analysis of the tumor microenvironment.～
Support Case#03
Pathology specimen analysis
～Abnormality screening and virtual staining～
Support Case#04
Automated Light-Sheet Microscopy Image Analysis
～Automatic Brain Region Segmentation and Improved Efficiency in Perivascular Environment Analysis～
Support Case#05
Novel approaches to animal behaviour analysis using AI
～Advanced behavioural insights and precise quantification～
Support Case#06
Automated Micronucleus Test Evaluation
～Provided as an automatic analysis service～
Support Case#07
Automation of Chromosomal Abnormality Detection
～Applications in dose assessment and genotoxicity testing following radiation overexposure～
Support Case#08
Ice Crystal Analysis in the Freeze-Drying Process
～Optimizing Manufacturing Processes with AI～
Support Case#09
Lab Automation Support
～Integrating image-analysis AI into automated medium-scale synthesis systems～