Custom AI Image Analysis for Microscopy Workflows
SnapCyte™ offers tailored deep learning solutions to help researchers, biotech teams, and CROs extract more from their microscopy data. Whether you’re analyzing cell morphology, spheroid growth, or multi-channel fluorescence, we help you automate and scale microscopy image analysis without needing in-house AI resources.
How it works
How Custom AI Image Analysis for Microscopy Works
Share Your Data & Goals
Send us sample images and a brief description of what you want to analyze—cell count, viability, morphology, 3D structures, etc.
We Help Define the Analysis
Our team works with you to define the right metrics, model requirements, and deliverables—tailored to your workflow and sample type.
We Build & Validate the Model
We train, test, and fine-tune an AI model on your data, ensuring reliable output with real-world variability in mind.
Get Your Results/Deploy the Model
Once the model is validated, you can choose how to use it. SnapCyte™ can run the analysis and deliver the results directly, or you can access the model through our hosted platform, integrate it into your pipeline via API, or receive the code for deployment within your own infrastructure—whichever approach best fits your workflow.
Let’s Solve Your Microscopy Data Analysis Challenges
Contact us today to discuss your dataset, imaging goals, or bottlenecks. We’ll help you find the right AI solution—custom model, service-based, or hybrid.
Case studies
SnapCyte™ integration has significantly enhanced the precision and efficiency of our invasion assays, providing a solid answer compared to our previous data analysis challenge.
Frequently asked questions
How does SnapCyte™ work with clients to develop custom AI models?
Our process begins with a consultation to understand your research needs and microscopy challenges. We then design and train AI models using curated datasets tailored to your requirements, ensuring precision and relevance to your workflows.
What is SnapCyte™’s approach to data management and scalability?
We use MLOps-driven infrastructure to organize and manage your data pipelines. This includes versioning, feedback loops, and scalability to ensure your AI models remain reproducible and adaptable as your research evolves.
How long does it take to develop and implement a custom solution?
Timelines vary depending on the complexity of your project. However, our agile approach allows us to deliver initial results quickly, typically within weeks, while continuing to refine models based on your feedback.
What happens after a solution is delivered?
We provide ongoing support to ensure seamless integration into your workflows. This includes user training, regular updates, and optional enhancements to your AI models as your research progresses
Can SnapCyte™ help identify the right AI solution for my research?
Absolutely. Our team of experts collaborates with you to assess your challenges and recommend solutions that best fit your microscopy data and research needs.
Do I need specialized hardware to use SnapCyte™ solutions?™?
Not necessarily. Our solutions are designed to integrate with standard microscopy setups and systems. We can provide recommendations if needed to optimize your imaging workflows or systems.
Just Need a Prebuilt Model?
SnapCyte™ offers ready-to-use models for cell counting, confluency, and invasion assays—free for academic research and instantly accessible via our app.
