Semantic Scholar Open Access 2018 1716 sitasi

CellProfiler 3.0: Next-generation image processing for biology

C. McQuin A. Goodman V. Chernyshev L. Kamentsky B. Cimini +10 lainnya

Lihat Sumber DOI

Abstrak

CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler’s infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows.

Topik & Kata Kunci

Biology Medicine

Penulis (15)

C. McQuin

A. Goodman

V. Chernyshev

L. Kamentsky

B. Cimini

Kyle W. Karhohs

M. Doan

Liya Ding

S. Rafelski

D. Thirstrup

W. Wiegraebe

Shantanu Singh

Tim Becker

Juan C. Caicedo

Anne E Carpenter

Format Sitasi

APA MLA BibTeX

McQuin, C., Goodman, A., Chernyshev, V., Kamentsky, L., Cimini, B., Karhohs, K.W. et al. (2018). CellProfiler 3.0: Next-generation image processing for biology. https://doi.org/10.1371/journal.pbio.2005970

Akses Cepat

Lihat di Sumber doi.org/10.1371/journal.pbio.2005970

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 1716×
Sumber Database: Semantic Scholar
DOI: 10.1371/journal.pbio.2005970
Akses: Open Access ✓