Quantitative analysis of cell function and death in label-free high content screening
<p>Time-lapse data is increasingly being used to conduct more detailed high throughput studies. Quantitative information that is being derived from vast and complex image data sets is essential in our understanding of basic cellular processes. Advances in cell culturing methods combined wit...
主要作者: | Nketia, T |
---|---|
其他作者: | Rittscher, J |
格式: | Thesis |
出版: |
2016
|
相似书籍
-
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases.
由: Ross A Paveley, et al.
出版: (2012-01-01) -
Label-free quantitative phase biological imaging for assessment of cell maturation status and organoid function
由: Rachmawisista, Adrianzka Mayreswara Dewa
出版: (2022) -
Screening of heat stress-related biomarkers in chicken serum through label-free quantitative proteomics
由: Qijun Liang, et al.
出版: (2024-02-01) -
Label-free quantitative proteomic analysis of adult Drosophila heads
由: Yan Zhang, et al.
出版: (2022-12-01) -
Label-free tumor cells classification using deep learning and high-content imaging
由: Chawan Piansaddhayanon, et al.
出版: (2023-08-01)