부산대학교 도서관

Highlights • Manual evaluation of fiber lengths from DNA fluorography images is prone to bias and error. • We developed FiberQ, a fully-automated algorithm to quantify DNA fibers images. • FiberQ performance is comparable to humans and large image sets can be analyzed in minutes. • FiberQ is an open-source application and is provided free of charge for academic research. Abstract DNA fiber fluorography is widely employed to study the kinetics of DNA replication, but the usefulness of this approach has been limited by the lack of freely-available automated analysis tools. Quantification of DNA fibers usually relies on manual examination of immunofluorescence microscopy images, which is laborious and prone to inter- and intra-operator variability. To address this, we developed an unbiased, fully automated algorithm that quantifies length and color of DNA fibers from fluorescence microscopy images. Our fiber quantification method, termed FiberQ, is an open-source image processing tool based on edge detection and a novel segment splicing approach. Here, we describe the algorithm in detail, validate our results experimentally, and benchmark the analysis against manual assessments. Our implementation is offered free of charge to the scientific community under the General Public License. [ABSTRACT FROM AUTHOR]