“…An overall ideal solution would be to omit fluorescence by use of label-free optical detection as exhibited by several studies covered in this review. ,− Nevertheless, the main drawback with label-free detection in droplet emulsions that researchers should be aware of is the need to often apply complicated and custom-made scripts for data analysis. − Analysis is also complicated in experiments where polydisperse droplets are generated via, for example, simple and quick vortexing. ,, Yet, when assessing the current state and future direction of optical biodetection with droplet emulsion methods, as well as ways to improve accessibility to the general scientific public, polydisperse generation could be one part of the solution. In particular, this is true because analysis processing via deep learning algorithms is quickly advancing , and the development of user-friendly and freely accessible pipelines from droplet image analysis is robust. − Making droplet emulsion generation quick and simple, moreover, especially correlates with the current trend seen in the field of nucleic acid detection. The focus is shifting toward not only high-resolution single-cell analysis ,, but also rapid and easy to use diagnostic and monitoring tools. ,,,− Nevertheless, when addressing detection of extremely small molecules in complex matrices (e.g., neurotransmitters and electrolytes), options are restrictive due to current scientific technological limitations.…”