Phenosorter
Quantify even the most challenging cell types
Visually train custom AI models to identify and sort cell populations
Quantify even the most challenging cell types
Visually train custom AI models to identify and sort cell populations
Quantify even the most challenging cell types
Visually train custom AI models to identify and sort cell populations
Quantify even the most challenging cell types
Visually train custom AI models to identify and sort cell populations
Quantify any cellular phenotype you can see
Teach your own AI model how to learn the differences between complex single cell phenotypes
Label cells quickly and easily with LabMate AI
Label single cells easily with LabMate AI's assistance to quickly build and iterate AI models
Backed by benchmarked, best-in-class models
Take advantage of AI embeddings rigorously validated across internal and external benchmarks
Model, sort, and quantify even the most subtle phenotypes
Train your own AI models to quantify any phenotype your team can visually see. From mitochondrial networks to localized antigen uptake to kidney-shaped nuclei to "mushroom"-shaped single cells to partially arrested cell death to anything else you can label — quickly model it all and see how these phenotypes change across your experiment.
Model, sort, and quantify even the most subtle phenotypes
Train your own AI models to quantify any phenotype your team can visually see. From mitochondrial networks to localized antigen uptake to kidney-shaped nuclei to "mushroom"-shaped single cells to partially arrested cell death to anything else you can label — quickly model it all and see how these phenotypes change across your experiment.
Model, sort, and quantify even the most subtle phenotypes
Train your own AI models to quantify any phenotype your team can visually see. From mitochondrial networks to localized antigen uptake to kidney-shaped nuclei to "mushroom"-shaped single cells to partially arrested cell death to anything else you can label — quickly model it all and see how these phenotypes change across your experiment.
Model, sort, and quantify even the most subtle phenotypes
Train your own AI models to quantify any phenotype your team can visually see. From mitochondrial networks to localized antigen uptake to kidney-shaped nuclei to "mushroom"-shaped single cells to partially arrested cell death to anything else you can label — quickly model it all and see how these phenotypes change across your experiment.
Easily train and refine your own AI model just by clicking
Teach an AI model quickly using a simple, smooth labeling interface designed for scientists. Labeling single cells is fast and easy thanks to LabMate AI's ability to automatically "Find more cells that look like this."
Easily train and refine your own AI model just by clicking
Teach an AI model quickly using a simple, smooth labeling interface designed for scientists. Labeling single cells is fast and easy thanks to LabMate AI's ability to automatically "Find more cells that look like this."
Easily train and refine your own AI model just by clicking
Teach an AI model quickly using a simple, smooth labeling interface designed for scientists. Labeling single cells is fast and easy thanks to LabMate AI's ability to automatically "Find more cells that look like this."
Easily train and refine your own AI model just by clicking
Teach an AI model quickly using a simple, smooth labeling interface designed for scientists. Labeling single cells is fast and easy thanks to LabMate AI's ability to automatically "Find more cells that look like this."
Powered by benchmarked, validated AI
Spring applies several rigorous benchmarks to validate the underlying AI embeddings powering these tools. These embeddings and approaches have shown state-of-the-art performance on publicly-shared internal and external benchmarks, and more benchmarks are being applied regularly.
Powered by benchmarked, validated AI
Spring applies several rigorous benchmarks to validate the underlying AI embeddings powering these tools. These embeddings and approaches have shown state-of-the-art performance on publicly-shared internal and external benchmarks, and more benchmarks are being applied regularly.
Powered by benchmarked, validated AI
Spring applies several rigorous benchmarks to validate the underlying AI embeddings powering these tools. These embeddings and approaches have shown state-of-the-art performance on publicly-shared internal and external benchmarks, and more benchmarks are being applied regularly.
Powered by benchmarked, validated AI
Spring applies several rigorous benchmarks to validate the underlying AI embeddings powering these tools. These embeddings and approaches have shown state-of-the-art performance on publicly-shared internal and external benchmarks, and more benchmarks are being applied regularly.
Example phenotypes quantified by Phenosorter
Apoptotic-vs-pyroptotic cell death
Immune cell
subtyping
M1-vs-M2 macrophage polarization
Mitochondrial networks
Dendrite
formation
See it in action
“The question isn’t, ’Can we build a classifier?’ but ’Can we trust it?’ Spring’s platform shows me that I can trust it.”
— SENIOR SCIENTIST, BIG PHARMA
“The question isn’t, ’Can we build a classifier?’ but ’Can we trust it?’ Spring’s platform shows me that I can trust it.”
— SENIOR SCIENTIST, BIG PHARMA
“The question isn’t, ’Can we build a classifier?’ but ’Can we trust it?’ Spring’s platform shows me that I can trust it.”
— SENIOR SCIENTIST, BIG PHARMA
See what happens when scientists use Spring
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Educators are invited to use Spring in the classroom and with their research students.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
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