Introducing AI Prelabel for all bioimages 🔬 - build AI models using AI models. Read about how it works below! (1/10) Biodock AI #microscopy #pathology #Biology

Once you have a first AI model, instead of laboriously labeling every cell or tissue region in your image, you can just click big tiles (size customizable) to generate labels with AI Prelabel, which does the bulk of the work. (2/10)

But you aren’t just passively receiving labels from AI Prelabel! You’ll actively review and correct any inaccuracies. This means the model learns from you – the expert – and continuously improves. This is called human-in-the-loop learning. (3/10)

It’s all about efficiency. With AI Prelabel, you can retrain your model on MUCH more data than if you were labeling manually. More data = more accurate models = better quality biological research. (4/10)

It also means that any work you do as part of the system is not used on areas where the AI model is already doing well, but focused on areas where your AI model tripped up, meaning that you are getting the best value from your time. (5/10)

This training loop is so powerful that your first model can be trained on as little as 50 objects (cells, organoids, puncta, etc.), which takes just a few minutes using our AI-assisted labeling tools. This model will improve rapidly in one or two iterations. (6/10)

There’s also a great hidden benefits of AI Prelabel: fast adaptation to novel images. If your images look very different and your performance degrades, it’s simple to fix. Just AI Prelabel, correct the mistakes, and retrain. (7/10)

It’s super easy to use AI Prelabel and the human-in-the-loop learning system, because we’ve included a step-by-step tutorial in our user-friendly model creation dashboard that walks you to a great model. No code required. (8/10)

And of course, once you’ve built a model, you now have an end-to-end model that can be run in one click on new images, on batches of any size. Results output directly to a beautiful statistics dashboard with full ability to download data. (9/10)

Try it out for free at Or, you read more about how it works at

@BiodockAI Very nice work , @MichaelLee04 ! @SwetaBioX check this out !