[HTML][HTML] Data-analysis strategies for image-based cell profiling
Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …
differences among a variety of cell populations. It paves the way to studying biological …
[HTML][HTML] Live-cell imaging in the deep learning era
Live imaging is a powerful tool, enabling scientists to observe living organisms in real time.
In particular, when combined with fluorescence microscopy, live imaging allows the …
In particular, when combined with fluorescence microscopy, live imaging allows the …
CellProfiler 3.0: Next-generation image processing for biology
CellProfiler has enabled the scientific research community to create flexible, modular image
analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new …
analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new …
Genetic and transcriptional evolution alters cancer cell line drug response
Human cancer cell lines are the workhorse of cancer research. Although cell lines are
known to evolve in culture, the extent of the resultant genetic and transcriptional …
known to evolve in culture, the extent of the resultant genetic and transcriptional …
The immune niche of the liver
The liver is an essential organ that is critical for the removal of toxins, the production of
proteins, and the maintenance of metabolic homeostasis. Behind each liver functional unit …
proteins, and the maintenance of metabolic homeostasis. Behind each liver functional unit …
CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis
Image-based experiments can yield many thousands of individual measurements describing
each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free …
each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free …
Reconstructing cell cycle and disease progression using deep learning
P Eulenberg, N Köhler, T Blasi, A Filby… - Nature …, 2017 - nature.com
We show that deep convolutional neural networks combined with nonlinear dimension
reduction enable reconstructing biological processes based on raw image data. We …
reduction enable reconstructing biological processes based on raw image data. We …
Immune monitoring using mass cytometry and related high-dimensional imaging approaches
The cellular complexity and functional diversity of the human immune system necessitate the
use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as …
use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as …
Next-generation computational tools for interrogating cancer immunity
The remarkable success of cancer therapies with immune checkpoint blockers is
revolutionizing oncology and has sparked intensive basic and translational research into the …
revolutionizing oncology and has sparked intensive basic and translational research into the …
Advances and opportunities in image analysis of bacterial cells and communities
The cellular morphology and sub-cellular spatial structure critically influence the function of
microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial …
microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial …