Cell Image Analysis Techniques
Cell Image Analysis Techniques is a research topic within Biophysics. Science Explorer counts 29k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers advanced techniques and tools in bioimage analysis, microscopy, and high-content screening. It includes topics such as machine learning for cellular image analysis, automated neuronal morphology reconstruction, deep learning applications, and phenotypic profiling of cellular responses. The papers also discuss the use of advanced image processing methods and the integration of high-throughput microscopy in drug discovery.
- Bioimage Analysis
- High-Content Screening
- Microscopy
- Machine Learning
- Cellular Imaging
- Neuronal Morphology
- Automated Analysis
- Deep Learning
- Image Processing
- Phenotypic Profiling
- Research works
- 29k fractional, since 1950
- In the world top 10%
- 2.9k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +43% the tick is no change
- Largest producer
United States
36% of the 10 largest, 2022-now
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