[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 …
High-throughput methods in the discovery and study of biomaterials and materiobiology
The complex interaction of cells with biomaterials (ie, materiobiology) plays an increasingly
pivotal role in the development of novel implants, biomedical devices, and tissue …
pivotal role in the development of novel implants, biomedical devices, and tissue …
Neuropilin-1 is a host factor for SARS-CoV-2 infection
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of
coronavirus disease 2019 (COVID-19), uses the viral spike (S) protein for host cell …
coronavirus disease 2019 (COVID-19), uses the viral spike (S) protein for host cell …
Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution
INTRODUCTION Neural circuits across the brain are composed of structures spanning
seven orders of magnitude in size that are assembled from thousands of distinct protein …
seven orders of magnitude in size that are assembled from thousands of distinct protein …
An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer
Neoadjuvant chemotherapy (NAC) prior to surgery and immune checkpoint therapy (ICT)
have revolutionized bladder cancer management. However, stratification of patients that …
have revolutionized bladder cancer management. However, stratification of patients that …
Image biomarker standardisation initiative
The image biomarker standardisation initiative (IBSI) is an independent international
collaboration which works towards standardising the extraction of image biomarkers from …
collaboration which works towards standardising the extraction of image biomarkers from …
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Recent advancements in deep learning have revolutionized the way microscopy images of
cells are processed. Deep learning network architectures have a large number of …
cells are processed. Deep learning network architectures have a large number of …
Accelerated RNA detection using tandem CRISPR nucleases
Direct, amplification-free detection of RNA has the potential to transform molecular
diagnostics by enabling simple on-site analysis of human or environmental samples …
diagnostics by enabling simple on-site analysis of human or environmental samples …
A BaSiC tool for background and shading correction of optical microscopy images
Quantitative analysis of bioimaging data is often skewed by both shading in space and
background variation in time. We introduce BaSiC, an image correction method based on …
background variation in time. We introduce BaSiC, an image correction method based on …
Practical considerations for quantitative light sheet fluorescence microscopy
Fluorescence microscopy has evolved from a purely observational tool to a platform for
quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic …
quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic …