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iSEQ: Advancing single-cell technologies to study spatio-temporal interactions of relevance in disease development
Li, Mei
(PhD Student)
Brix, Susanne
(Main Supervisor)
Hou, Yong
(Supervisor)
Department of Biotechnology and Biomedicine
DTU Microbes Initiative
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/12/2020
→
30/11/2023
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Spatial Resolution
Computer Science
100%
Spatial Quality
Computer Science
100%
Image Stitching
Computer Science
100%
Gene Expression Profiling
Biochemistry, Genetics and Molecular Biology
100%
Gene Expression
Biochemistry, Genetics and Molecular Biology
100%
Transcriptomics
Biochemistry, Genetics and Molecular Biology
100%
Gaussian Distribution
Biochemistry, Genetics and Molecular Biology
80%
Mouse
Biochemistry, Genetics and Molecular Biology
60%
Research output
Research output per year
2023
2023
2023
1
Ph.D. thesis
Research output per year
Research output per year
Development and Optimization of tools for High-quality Spatial Single-cell Gene Expression Profiling using High-resolution Spatial Transcriptomics Technology
Li, M.,
2023
, Kgs. Lyngby, Denmark:
DTU Bioengineering
.
140 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Image Stitching
100%
Spatial Resolution
100%
Spatial Quality
100%
Gene Expression Profiling
100%
Transcriptomics
100%
166
Downloads (Pure)