What lies beneath: underlying assumptions in bioimage analysis

Abstract

The need for plant image analysis tools is established and has led to a steadily expanding literature and set of software tools. This is encouraging, but raises a question: how does a plant scientist with no detailed knowledge or experience of image analysis methods choose the right tool(s) for the task at hand, or satisfy themselves that a suggested approach is appropriate? We believe that too great an emphasis is currently being placed on low-level mechanisms and software environments. In this opinion article we propose that a renewed focus on the core theories and algorithms used, and in particular the assumptions upon which they rely, will better equip plant scientists to evaluate the available resources.