Deep learning methods for digital pathology analysis are an effective way to address
multiple clinical questions, from diagnosis to prediction of treatment outcomes. These …

The field of light‐scattering characterization of single particles has seen a rapid growth over
the last 30 years largely due to the progress in measurement and simulation capabilities. In …

Abstract tT cells migrate to lymphoid organs to become activated through specific contacts
with antigen-presenting cells bearing foreign antigens. During migration and activation, T …

White blood cell (WBC) differential counting is an established clinical routine to assess
patient immune system status. Fluorescent markers and a flow cytometer are required for the …

Overwhelming evidence has shown the significant role of the tumor microenvironment (TME)
in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can …

Multiplexed imaging technologies enable the study of biological tissues at single-cell
resolution while preserving spatial information. Currently, high-dimension imaging data …

Introduction Human peripheral blood mononuclear cells (PBMCs) are a heterogeneous
population of cells that includes T and B lymphocytes. The total number of lymphocytes and …

Molecular/cell level of gas exchange function assumes the accurate measurement of
erythrocyte characteristics and rate constants concerning to molecules involved into the …

Leukocyte subpopulations contain crucial physiological information; hence, precise and
specific leukocyte separation is very important for leukemia diagnosis and analysis …

Simple Summary Acute lymphoblastic leukemia (ALL) is the most common pediatric
malignancy originating from abnormal lymphoid progenitor cells. Since ALL is genetically …