Towards effective adoption of novel image analysis methods

The bridging of domains such as deep learning-driven image analysis and biology brings exciting promises of previously impossible discoveries as well as perils of misinterpretation and misapplication. We encourage continual communication between method developers and application scientists that emphases likely pitfalls and provides validation tools in conjunction with new techniques.

We are microscopists running a busy core facility. Our work sits at the interface between two domains: that of methodology, in which we have watched eagerly as technological advances have enabled faster and…