ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks
Summary
ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks is a scholarly article[1].
Key Facts
ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/imagej-surfcut-a-user-friendly-pipeline-for-high-throughput-extraction-of-cell-contours-from-3d-image-stacks
MLA“ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/imagej-surfcut-a-user-friendly-pipeline-for-high-throughput-extraction-of-cell-contours-from-3d-image-stacks.
BibTeX@misc{4ortxyz_imagej-surfcut-a-user-friendly-pipeline-for-high-throughput-extraction-of-cell-contours-from-3d-image-stacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks}}, year = {2026}, url = {https://4ort.xyz/entity/imagej-surfcut-a-user-friendly-pipeline-for-high-throughput-extraction-of-cell-contours-from-3d-image-stacks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks — https://4ort.xyz/entity/imagej-surfcut-a-user-friendly-pipeline-for-high-throughput-extraction-of-cell-contours-from-3d-image-stacks (retrieved 2026-05-24)
