caNanoLab Wiki Home Page
caNanoLab provides access to information on:
- Nanotechnology protocols in biomedicine
- Composition of nanomaterials
- Functions of nanomaterials (for example, therapeutic, targeting, diagnostic imaging)
- Physico-chemical characterizations including size, molecular weight, shape, physical state, surface chemistry, purity, solubility, and relaxivity
- In Vitro characterizations such as cytotoxicity, blood contact properties, oxidative stress, and immune cell functions
- Publications and reports from nanotechnology studies in biomedicine
caNanoLab was developed as a collaboration between the NCI Center for Biomedical Informatics and Information Technology (CBIIT), the NCI Nanotechnology Characterization Laboratory (NCL), and the NCI Cancer Centers of Nanotechnology Excellence (CCNEs).
Installation and Downloads
caNanoLab 2.0 Artifacts
caNanoLab 1.5.5 Artifacts
Downloadable files from previous releases of caNanoLab are also available from the caNanoLab GForge files tab archive.
caNanoLab Users Group
Forum and Support
- Application Support
- ICR Workspace Coordinator: Mervi Heiskanen
- caNanoLab Users Listserv - Sign up for tool updates. Send mail (mailto:(CANANOLAB-USERS-L@LIST.NIH.GOV))
- caNanoLab GForge Project archive
- ICR Nanotech Working Group
Presentations, Demos and Other Materials
- caNanoLab Data Submission Video
- caNanoLab Presentations, Demos and Other Materials for other archived materials
Documentation and Training
To access online help in the application, click the Help button.
Related Tools and Terminology
Data curation is a key component for ensuring that data is appropriately annotated to facilitate data sharing in a semantically interoperable fashion. Data curation activities on caNanoLab are currently performed by nanotechnology data scientists at Washington University and the Nanotechnology Characterization Laboratory (NCL). Data curators assist in extracting data from publications and nanotechnology experiments, annotating extracted data, and providing overall data quality control. If you are interested in submitting your data into caNanoLab, please contact the caNanoLab Users Listserv.