Image Analysis, Simplified.
Biology is complex. Your workflow shouldn’t be.
The Problem
Modern image analysis has become increasingly powerful, enabling researchers to answer complex biological questions. It has also become increasingly fragmented. Researchers spend too much time learning software, connecting tools, and troubleshooting workflows instead of pursuing the science that inspired their research in the first place.
Image analysis should accelerate discovery, not slow it down. The tools should adapt to the scientist, not the other way around.
Guiding Principles
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Powerful software doesn't have to be complicated. Every feature in SimpliCyte is designed to reduce friction, minimize unnecessary decisions, and let researchers focus on biology instead of software. Simplicity isn't a feature, it's the principle that guides every design decision we make.
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Researchers already have trusted tools, established workflows, and models they've invested time in developing. SimpliCyte is designed to work with them, not replace them. Whether it's your images, your models, or your workflow, the platform is built to integrate rather than dictate.
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AI should empower researchers, not replace their judgment. SimpliCyte automates repetitive work while keeping users in control of their workflows, models, and results. The platform is designed to make powerful analysis more accessible without turning scientific decisions into a black box.
Our Technology
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From scientific intent to analysis workflow. SimpliCyte’s AI Compose uses natural language to help you create editable image analysis workflows without manually configuring every step. Describe what you want to accomplish, review the workflow, and refine it to match your scientific needs.
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The best model is the one that's right for your science. While SimpliCyte provides powerful capabilities out of the box, it doesn't lock you into a proprietary AI ecosystem. Instead, it provides the framework to integrate the models you choose - so as AI evolves, your workflows can evolve with it.
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SimpliCyte is built on open standards, including OME-Zarr, to provide a unified analysis pipeline while preserving interoperability. Images from diverse modalities are standardized internally, and analysis results can be published back to OME-Zarr for downstream analysis, sharing, and reproducibility.