Results 81 to 90 of about 5,255,854 (171)

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next‐Generation Approaches

Advanced Science, Volume 13, Issue 35, 24 June 2026.
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey, Sudhir Kumar Rai, Li Ma, Lauren Higa, Vedbar Khadka, Hua Yang, Youping Deng   +6 more
wiley   +1 more source

TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

, 2023
This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The ...
Karishma Valand, Sergio Quezada, Crispin T. Hiley, Julian Downward, Erik Sahai, Mihaela Angelova, Masako Shimato, Emer Daly, Charles Swanton, Febe van Maldegem, Febe Van Meldegem, David A. Moore, Emma Colliver, Monica Sivakumar, Alastair Magness, Sergio Quesada, Dina Levi, Claudia Lee, James Reading, Katey Enfield, Philip Hobson   +20 more
core   +1 more source

A Novel Process for H&E, Immunofluorescence, and Imaging Mass Cytometry on a Single Slide with a Concise Analytics Pipeline

, 2023
Imaging Mass Cytometry (IMC) is a powerful spatial technology that utilizes Cytometry Time of Flight (CyTOF) to acquire multiplexed image datasets with up to 40 markers, via metal-tagged antibodies.
Guthridge, Joel M., Wright, Christian, Stephens, Tayte, Smith, Miles, Wright, Kyle, Marlin, M. Caleb   +5 more
core   +1 more source

A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry [PDF]

, 2019
Type 1 diabetes (T1D) results from the autoimmune destruction of insulin-producing β cells. A comprehensive picture of the changes during T1D development is lacking due to limited sample availability, inability to sample longitudinally, and the paucity ...
Zanotelli, Vito R T, Bodenmiller, Bernd; https://orcid.org/, Nick, Harry S, Herrera, Pedro L, Kusmartseva, Irina, Zanotelli, Vito R T; https://orcid.org/, Schapiro, Denis, Atkinson, Mark A, Engler, Stefanie, Wasserfall, Clive H, Bodenmiller, Bernd, Damond, Nicolas, Thorel, Fabrizio, Herrera, Pedro Luis, Engler S, Thorel F, Zanotelli VRT, Schapiro D, Herrera PL, Wasserfall CH, Bodenmiller B, Atkinson MA, Kusmartseva I, Damond N, Nick HS   +24 more
core   +1 more source

IMC dataset for CCA mouse model study

, 2022
Imaging Mass Cytometry files acquired at Johns Hopkins Mass Cytometry Facility Contents of zipped file, "Raw_MCDFiles_Manuscript.zip": Raw MCD files for cholangiocarcinoma mouse model study Metadata for ROIs Also included, "IMC - Mouse Panel ...
Ho, Won Jin, Shin, Sarah
core   +1 more source

SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging

Nature Communications
Spatial proteomics elucidates cellular biochemical changes with unprecedented topological level. Imaging mass cytometry (IMC) is a high-dimensional single-cell resolution platform for targeted spatial proteomics.
Rui Chen, Jiasu Xu, Boqian Wang, Yi Ding, Aynur Abdulla, Yiyang Li, Lai Jiang, Xianting Ding   +7 more
doaj   +1 more source

Compensation of signal spillover in suspension and imaging mass cytometry

, 2018
Raw mass cytometry and imaging mass cytometry data used to develop the compensation tool available within the R package ...
Chevrier, S (via Mendeley Data), Chevrier, Stephane   +1 more
core   +1 more source

Precision Oncology Program (POP), an observational study using real-world data and imaging mass cytometry to explore decision support for the Molecular Tumor Board: study protocol

BMJ Open
Introduction Precision oncology aims to provide individualised treatment recommendations based on patient-specific characteristics. In this rapidly evolving field with increasing numbers of biomarkers and potential therapeutic targets, there is a growing
Charles Lu, Andreas Wicki, Shemra Rizzo, Dominik Glinz, Eva Camarillo-Retamosa, Laura Amanda Boos, Christian Doerig, Gabriele Gut, Nicola Miglino, Luis Fábregas Ibáñez, Charlotta Schärfe Fruechtenicht, Nandini Chitale, Martin Zoche, Bernd Bodenmiller, Stephane Chevrier, Alexandra Sophia Eklund, Marta Nowak, Sepehr Rahmani Khajouei, Carmen Galani Berardo, Lukasz Kaczmarek, Karin Bosshard, William Archey, Matthias Bodmer, Chiara Louisa Hempel, Parisa Rahimzadeh, Benedict Gosztonyi, Ulrich Richter, Lorenz Bankel   +27 more
doaj   +1 more source

Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX

Nature Communications
The growing scale and dimensionality of multiplexed imaging require reproducible and comprehensive yet user-friendly computational pipelines. TRACERx-PHLEX performs deep learning-based cell segmentation (deep-imcyto), automated cell-type annotation ...
Alastair Magness, Emma Colliver, Katey S. S. Enfield, Claudia Lee, Masako Shimato, Emer Daly, David A. Moore, Monica Sivakumar, Karishma Valand, Dina Levi, Crispin T. Hiley, Philip S. Hobson, Febe van Maldegem, James L. Reading, Sergio A. Quezada, Julian Downward, Erik Sahai, Charles Swanton, Mihaela Angelova   +18 more
doaj   +1 more source

Multidimensional profiling of drug‐treated cells by Imaging Mass Cytometry

FEBS Open Bio, 2019
In pharmaceutical research, high‐content screening is an integral part of lead candidate development. Measuring drug response in vitro by examining over 40 parameters, including biomarkers, signaling molecules, cell morphological changes, proliferation ...
Alexandre Bouzekri, Amanda Esch, Olga Ornatsky   +2 more
doaj   +1 more source