2 citations · 5 across the 5 of their papers we have counts for
5 papers
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods
Ziv Yaniv, Ifeanyichukwu U. Anidi, Leanne Arakkal +59
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The d…
The IBEX Knowledge-Base: Achieving more together with open science
Andrea J. Radtke, Ifeanyichukwu Anidi, Leanne Arakkal +55
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowl…
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis, Shahab Aslani, Yashvardhan Jain +10
Automated blood vessel segmentation is vital for biomedical imaging, as vessel changes indicate many pathologies. Still, precise segmentation is difficult due to the complexity of…
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images
Mark Eastwood, Heba Sailem, Silviu Tudor +10
Malignant mesothelioma is classified into three histological subtypes, Epithelioid, Sarcomatoid, and Biphasic according to the relative proportions of epithelioid and sarcomatoid t…
IBEX: An open and extensible method for high content multiplex imaging of diverse tissues
Andrea J. Radtke, Colin J. Chu, Ziv Yaniv +14
High content imaging is needed to catalogue the variety of cellular phenotypes and multi-cellular ecosystems present in metazoan tissues. We recently developed Iterative Bleaching…