Results 31 to 40 of about 3,600,628 (280)
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry
Frontiers in Genetics, 2021 Highly multiplexed imaging technology is a powerful tool to facilitate understanding the composition and interactions of cells in tumor microenvironments at subcellular resolution, which is crucial for both basic research and clinical applications ...
Xu Xiao +11 more
doaj +1 more source
Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence [PDF]
, 2021 Summary: Here, we describe the preservation and preparation of human kidney tissue for interrogation by histopathology, imaging mass spectrometry, and multiplexed immunofluorescence. Custom image registration and integration techniques are used to create
Jeffrey M. Spraggins +29 more
core +2 more sources
Full-field optical coherence tomography using a fibre imaging bundle [PDF]
, 2006 An imaging fibre bundle is demonstrated for spatially-multiplexed probe beam delivery in OCT, with the aim of eliminating the mechanical scanning currently required at the probe tip in endoscopic systems.
H. D. Ford +3 more
core +1 more source
, 2021 This repository contains the source code for the paper "Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks"
Jahandar Jahanipour +8 more
core +1 more source
Imputing single-cell protein abundance in multiplex tissue imaging
Nature Communications, 2023 Abstract Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss, and probe failure. Here, we apply machine learning to impute single-cell protein abundance using multiplex tissue imaging data from a breast cancer cohort.
Raphael Kirchgaessner +4 more
openaire +4 more sources
Highly Multiplexed Immunohistochemical MALDI-MS Imaging of Biomarkers in Tissues [PDF]
Journal of the American Society for Mass Spectrometry, 2021 Immunohistochemistry (IHC) combined with fluorescence microscopy provides an important and widely used tool for researchers and pathologists to image multiple biomarkers in tissue specimens. However, multiplex IHC using standard fluorescence microscopy is generally limited to 3-5 different biomarkers, with hyperspectral or multispectral methods limited
Gargey Yagnik +3 more
openaire +4 more sources
Multiplexed aberration measurement for deep tissue imaging in vivo [PDF]
Nature Methods, 2014 We describe an adaptive optics method that modulates the intensity or phase of light rays at multiple pupil segments in parallel to determine the sample-induced aberration. Applicable to fluorescent protein-labeled structures of arbitrary complexity, it allowed us to obtain diffraction-limited resolution in various samples in vivo.
Wang, Chen +8 more
openaire +2 more sources
A platform-independent framework for phenotyping of multiplex tissue imaging data
PLOS Computational Biology, 2022 Multiplex imaging is a powerful tool to analyze the structural and functional states of cells in their morphological and pathological contexts. However, hypothesis testing with multiplex imaging data is a challenging task due to the extent and complexity of the information obtained.
Mansooreh Ahmadian +9 more
openaire +3 more sources
Advances in Laboratory Medicine, 2021 The development and subsequent adaptation of mass cytometry for the histological analysis of tissue sections has allowed the simultaneous spatial characterization of multiple components.
Cereceda Karina +2 more
doaj +1 more source
Nature Communications, 2022 The components of the glioma immune microenvironment and their roles in promoting tumourigenesis remain poorly understood. Here, the use of single-cell RNA sequencing and multiplexed tissue-imaging in adult and pediatric high-grade gliomas reveals the ...
Shannon Coy +22 more
doaj +1 more source