Automated Author ProfileKhan, Safe
Khan, Safe
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
How is information processed in the brain? How does the wiring of brain cells relate to their function? How does one brain differ from another?These are some of the most fundamental questions of neuroscience - and to answer them we need to study the functional activity of neurons in the brain in combination with their structure: their morphologies and crucially how they are connected with each other. In this LTP we will answer these questions in the mammalian brain, where we will link the physiology of a circuit in vivo with its detailed anatomy revealed by X-ray Holographic Nanotomography (XNH) and subsequent targeted volume electron microscopy (vEM) across landscapes extending beyond the >mm3 volumes required to fully contain the circuits. To this end, we will develop XNH for >mm3 volumes, new sample preparation, staining, and embedding methods for coherent X-ray imaging, and correlative pipelines to link all modalities.
Authors
- Bosch, Carles ;
- Joita Pacureanu, Alexandra Teodora ;
- Khan, Safe ;
- Schaefer, Andreas ;
- Vorobyev, Artem ;
- Yang, Yikai ;
- Zhang, Yuxin
How is information processed in the brain? How does the wiring of brain cells relate to their function? How does one brain differ from another? These are some of the most fundamental questions of neuroscience - and to answer them we need to study the functional activity of neurons in the brain in combination with their structure: their morphologies and crucially how they are connected with each other. In this LTP we will answer these questions in the mammalian brain, where we will link the physiology of a circuit in vivo with its detailed anatomy revealed by X-ray Holographic Nanotomography (XNH) and subsequent targeted volume electron microscopy (vEM) across landscapes extending beyond the >mm3 volumes required to fully contain the circuits. To this end, we will develop XNH for >mm3 volumes, new sample preparation, staining, and embedding methods for coherent X-ray imaging, and correlative pipelines to link all modalities.
Authors
- Bosch, Carles ;
- Joita Pacureanu, Alexandra Teodora ;
- Khan, Safe ;
- Kuroda, Sumiya ;
- Schaefer, Andreas