Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

The visualization of whole organs and organisms through tissue clearing and fluorescence
volumetric imaging has revolutionized the way we look at biological samples. Its application …

A central challenge in biology is obtaining high-content, high-resolution information while
analyzing tissue samples at volumes relevant to disease progression. We address this here …

Lung diseases carry a significant burden of morbidity and mortality worldwide. The advent of
digital pathology (DP) and an increase in computational power have led to the development …

Prostate cancer treatment planning is largely dependent upon examination of core-needle
biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic …

Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra,
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …

Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …

Machine learning has become an increasingly ubiquitous technology, as big data continues
to inform and influence everyday life and decision-making. Currently, in medicine and …

The incorporation of machine learning into healthcare has transformed the landscape of
disease detection, allowing for a paradigm shift from reactive to proactive approaches. This …

Simple Summary In surgical pathology, the assessment of the presence of lymph node
metastases is a key aspect in terms of the staging and prognosis of cancer patients. This …