Cellular nucleus image-based smarter microscope system for single cell analysis
W Wang, L Yang, H Sun, X Peng, J Yuan… - Biosensors and …, 2024 - Elsevier
Cell imaging technology is undoubtedly a powerful tool for studying single-cell
heterogeneity due to its non-invasive and visual advantages. It covers microscope …
heterogeneity due to its non-invasive and visual advantages. It covers microscope …
OMEF biochip for evaluating red blood cell deformability using dielectrophoresis as a diagnostic tool for type 2 diabetes mellitus
DS Ali, SO Sofela, M Deliorman, P Sukumar… - Lab on a Chip, 2024 - pubs.rsc.org
Type 2 diabetes mellitus (T2DM) is a prevalent and debilitating disease with numerous
health risks, including cardiovascular diseases, kidney dysfunction, and nerve damage. One …
health risks, including cardiovascular diseases, kidney dysfunction, and nerve damage. One …
Comparing Deep Learning Performance for Chronic Lymphocytic Leukaemia Cell Segmentation in Brightfield Microscopy Images
M Vašinková, V Doleží, M Vašinek… - … and Biology Insights, 2024 - journals.sagepub.com
Objectives: This article focuses on the detection of cells in low-contrast brightfield
microscopy images; in our case, it is chronic lymphocytic leukaemia cells. The automatic …
microscopy images; in our case, it is chronic lymphocytic leukaemia cells. The automatic …
Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images
Leukemia, a malignant disease characterized by the rapid proliferation of specific types of
white blood cells (WBC), has prompted increased interest in leveraging automatic WBC …
white blood cells (WBC), has prompted increased interest in leveraging automatic WBC …