Multiplexed 3D atlas of state transitions and immune interactions in colorectal cancer (Introduction)
<|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://labsyspharm.github.io/HTA-CRCATLAS-1/minerva/crc01-introduction.html. 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' . 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" : ["Adenocarcinoma","colorectal cancer"]} <|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://labsyspharm.github.io/HTA-CRCATLAS-1/minerva/crc01-introduction.html. 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' . 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://labsyspharm.github.io/HTA-CRCATLAS-1/minerva/crc01-introduction.html. 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
Adenocarcinoma; colorectal cancer