Machine learning (ML) offers many benefits to researchers using a wide range of microscopy techniques. Easier workflows, segmentation of difficult to detect objects, and the ability to adapt as imaging and experiment conditions change are a few examples. These benefits enable researchers to focus on obtaining the insights that power scientific discovery.
One hurdle that impacts the adoption of ML in image analysis workflows stems from the misconception that ML tools are difficult to understand and complex to deploy. In this webinar, Aivia expert Quyen Tran, PhD, will tackle ML fundamentals and how to effectively deploy machine-learning in cancer and cell biology research.