Background: Multiplex tissue analysis has revolutionized our understanding of the tumor
microenvironment (TME) with implications for biomarker development and diagnostic …

Background Conventional immunohistochemistry technologies were limited by the inability
to simultaneously detect multiple markers and the lack of identifying spatial relationships …

Triple negative breast cancer (TNBC) comprises 10–15% of all breast cancers and has a
poor prognosis with a high risk of recurrence within 5 years. PD-L1 is an important …

We introduce a new spatial statistic, the weighted pair correlation function (wPCF). The
wPCF extends the existing pair correlation function (PCF) and cross-PCF to describe spatial …

Advances in multiplexed single-cell immunofluorescence (mIF) and multiplex
immunohistochemistry (mIHC) imaging technologies have enabled the analysis of cell-to …

Background Depression is associated with a higher ovarian cancer risk. Prior work suggests
that depression can lead to systemic immune suppression, which could potentially alter the …

Topological data analysis (TDA) is an active field of mathematics for quantifying shape in
complex data. Standard methods in TDA such as persistent homology (PH) are typically …

Immune checkpoint (IC) therapy has led to a breakthrough in cancer treatment. However, the
interaction of ICs is controversial in glioma. We detected features of ICs using transcriptome …

PUPAID is a workflow written in R+ ImageJ languages which is dedicated to the semi-
automated processing and analysis of multi-channel immunofluorescence data. The …

Multiplex immunofluorescence (mIF) staining combined with quantitative digital image
analysis is a novel and increasingly used technique that allows for the characterization of …