Practical recommendations for developing software for life science applications.

Abstract

Developing user-friendly image analysis software is essential for advancing biological and life science research. However, the interdisciplinary gap between software developers and life scientists presents challenges to software adoption. In this Essay, we provide practical recommendations to guide bioimage analysts and developers in creating accessible and usable software for biological research. These recommendations are presented in three phases, covering software design, user involvement in early development stages and the importance of software dissemination. Additionally, two software development case studies are presented to highlight the practical application of these principles, showing how thoughtful development, user-centric design and thorough documentation can bridge the gap between software developers and biologists, fostering wider adoption of the software and enabling further scientific discovery.