A survey of methods for 3D histology reconstruction

J Pichat, JE Iglesias, T Yousry, S Ourselin… - Medical image analysis, 2018 - Elsevier
Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …

Precision immunoprofiling by image analysis and artificial intelligence

VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz - Virchows Archiv, 2019 - Springer
Clinical success of immunotherapy is driving the need for new prognostic and predictive
assays to inform patient selection and stratification. This requirement can be met by a …

Virtual alignment of pathology image series for multi-gigapixel whole slide images

CD Gatenbee, AM Baker, S Prabhakaran… - Nature …, 2023 - nature.com
Interest in spatial omics is on the rise, but generation of highly multiplexed images remains
challenging, due to cost, expertise, methodical constraints, and access to technology. An …

ANHIR: automatic non-rigid histological image registration challenge

J Borovec, J Kybic, I Arganda-Carreras… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to
compare the performance of image registration algorithms on several kinds of microscopy …

[HTML][HTML] Deep learning of histopathology images at the single cell level

K Lee, JH Lockhart, M Xie, R Chaudhary… - Frontiers in artificial …, 2021 - frontiersin.org
The tumor-immune microenvironment (TIME) encompasses many heterogeneous cell types
that engage in extensive crosstalk among the cancer, immune, and stromal components …

Closing the loop: 3C versus DNA FISH

L Giorgetti, E Heard - Genome biology, 2016 - Springer
Abstract Chromosome conformation capture (3C)-based techniques have revolutionized the
field of nuclear organization, partly replacing DNA FISH as the method of choice for studying …

End-to-end multimodal image registration via reinforcement learning

J Hu, Z Luo, X Wang, S Sun, Y Yin, K Cao, Q Song… - Medical image …, 2021 - Elsevier
Multimodal image registration is a vital initial step in several medical image applications for
providing complementary information from different data modalities. Since images with …

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head

KT Islam, S Wijewickrema, S O'Leary - Scientific Reports, 2021 - nature.com
Image registration is a fundamental task in image analysis in which the transform that moves
the coordinate system of one image to another is calculated. Registration of multi-modal …

Large-scale automatic reconstruction of neuronal processes from electron microscopy images

V Kaynig, A Vazquez-Reina, S Knowles-Barley… - Medical image …, 2015 - Elsevier
Automated sample preparation and electron microscopy enables acquisition of very large
image data sets. These technical advances are of special importance to the field of …

Benchmarking of image registration methods for differently stained histological slides

J Borovec, A Munoz-Barrutia… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Image registration is a common task for many biomedical analysis applications. The present
work focuses on the benchmarking of registration methods on differently stained histological …