Investigation of Different Free Image Analysis Software for High-Throughput Droplet Detection.

ABSTRACT: Droplet microfluidics has revealed innovative strategies in biology and chemistry. This advancement has delivered novel quantification methods, such as droplet digital polymerase chain reaction (ddPCR) and an antibiotic heteroresistance analysis tool. For droplet analysis, researchers often use image-based detection techniques. Unfortunately, the analysis of images may require specific tools or programming skills to produce the expected results. In order to address the issue, we explore the potential use of standalone freely available software to perform image-based droplet detection. We select the four most popular software and classify them into rule-based and machine learning-based types after assessing the software's modules. We test and evaluate the software's (i) ability to detect dr

SUBMITTER: Sanka I 

PROVIDER: S-EPMC8427638 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature