Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology
Advancements in imaging technologies have revolutionized our ability to deeply profile
pathological tissue architectures, generating large volumes of imaging data with …
pathological tissue architectures, generating large volumes of imaging data with …
Statistical Analysis of Quantitative Cancer Imaging Data
Recent advances in types and extant of medical imaging technologies has led to
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …
Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma
Cutaneous T-cell lymphomas (CTCLs) are non-Hodgkin lymphomas caused by malignant T
cells which migrate to the skin and lead to rash-like lesions which can be difficult to …
cells which migrate to the skin and lead to rash-like lesions which can be difficult to …
mxfda: a comprehensive toolkit for functional data analysis of single-cell spatial data
Technologies that produce spatial single-cell (SC) data have revolutionized the study of
tissue microstructures and promise to advance personalized treatment of cancer by …
tissue microstructures and promise to advance personalized treatment of cancer by …
pasta: Pattern Analysis for Spatial Omics Data
Spatial omics assays allow for the molecular characterisation of cells in their spatial context.
Notably, the two main technological streams, imaging-based and high-throughput …
Notably, the two main technological streams, imaging-based and high-throughput …
[HTML][HTML] A Spatial Omnibus Test (SPOT) for Spatial Proteomic Data
Spatial proteomics can reveal the spatial organization of immune cells in the tumor immune
microenvironment. Relating measures of spatial clustering, such as Ripley's K or Besag's L …
microenvironment. Relating measures of spatial clustering, such as Ripley's K or Besag's L …
Benchmarking Spatial Co-Localization Methods for Single-Cell Multiplex Imaging Data with Applications to High-Grade Serous Ovarian and Triple Negative Breast …
AC Soupir, IV Gadiyar, BR Helm, CR Harris… - Statistics and Data …, 2025 - Taylor & Francis
Single-cell multiplex imaging (scMI) measures cell locations and phenotypes within a tissue
and can be used to understand the tumor microenvironment. In scMI studies, it is often of …
and can be used to understand the tumor microenvironment. In scMI studies, it is often of …
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
In principle, AI-based algorithms should enable rapid and accurate cell segmentation in high-
throughput settings. However, reliance on large datasets, human input, and computational …
throughput settings. However, reliance on large datasets, human input, and computational …
[HTML][HTML] Novel Digital Wearable Sensors for Drug Development in Pharmaceutical Industry
As clinical trials evolve with technological advancements, wearable sensors and digital
health technologies (DHTs) have significantly enhanced data collection by providing …
health technologies (DHTs) have significantly enhanced data collection by providing …
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
In principle, AI-based algorithms should enable rapid and accurate cell segmentation in high-
throughput settings. However, reliance on large training datasets, human input …
throughput settings. However, reliance on large training datasets, human input …