Temporal and spatial topography of cell proliferation in cancer
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The collection comprises preservation-quality files of Minerva output files without needing download terabyte scale images. To view data in a browser follow this link: https://www.cycif.org/data/gaglia-PCQ-2020/osd-0813.This dataset uses the Minerva Suite, a series of software tools developed by the Laboratory of Systems Pharmacology to visualize multiplexed tissue image data in a web browser. Researchers or pathologists can annotate and describe images for users and users can use zooming and panning features to explore the full resolution images without needing to download multi-GB/TB image files. These annotated and unannotated images are created by uploading quality controlled ome.tiffs and segmentation masks, along with channel metadata and text descriptions, into the Minerva Author tool. These input files produce .json fil' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Breast Neoplasms"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The collection comprises preservation-quality files of Minerva output files without needing download terabyte scale images. To view data in a browser follow this link: https://www.cycif.org/data/gaglia-PCQ-2020/osd-0813.This dataset uses the Minerva Suite, a series of software tools developed by the Laboratory of Systems Pharmacology to visualize multiplexed tissue image data in a web browser. Researchers or pathologists can annotate and describe images for users and users can use zooming and panning features to explore the full resolution images without needing to download multi-GB/TB image files. These annotated and unannotated images are created by uploading quality controlled ome.tiffs and segmentation masks, along with channel metadata and text descriptions, into the Minerva Author tool. These input files produce .json fil' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The collection comprises preservation-quality files of Minerva output files without needing download terabyte scale images. To view data in a browser follow this link: https://www.cycif.org/data/gaglia-PCQ-2020/osd-0813.This dataset uses the Minerva Suite, a series of software tools developed by the Laboratory of Systems Pharmacology to visualize multiplexed tissue image data in a web browser. Researchers or pathologists can annotate and describe images for users and users can use zooming and panning features to explore the full resolution images without needing to download multi-GB/TB image files. These annotated and unannotated images are created by uploading quality controlled ome.tiffs and segmentation masks, along with channel metadata and text descriptions, into the Minerva Author tool. These input files produce .json fil
Breast Neoplasms