Publications de Julie Meystre | EPFL Graph Search

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Copyright © 2024 Meystre, Jacquemier, Burri, Zsolnai, Frank, Vieira, Shi, Perin, Keller and Markram.Nissl histology underpins our understanding of brain anatomy and architecture. Despite its importance, no high-resolution datasets are currently available i ...

A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a century of anatomical studies, due to the lack of agreement on the subjective classifications of neuron types, w ...

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for ...

Creators Meystre Julie Olivier Burri Contributors Jean Jacquemier Description This dataset contains 7 QuPath projects. The raw data images linked to these projects and located in other Zenodo datasets need to be downloaded as well. The raw data contains im ...

This dataset contains some images (TIFF image data) of brain juvenile rats Wistar Han (P14) scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pi ...

This dataset contains images (TIFF image data) of brain juvenile rats Wistar Han (P14) scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F5 ...

Obtaining a catalog of cell types is a fundamental building block for understanding the brain. The ideal classification of cell-types is based on the profile of molecules expressed by a cell, in particular, the profile of genes expressed. One strategy is, ...

Understanding the effects of environmental stimulation in autism can improve therapeutic interventions against debilitating sensory overload, social withdrawal, fear and anxiety. Here, we evaluate the role of environmental predictability on behavior and pr ...

This Workflow contains all the material necessary to reproduce the cells detection, thanks to the QuPath performed in the paper "Machine learning for histological annotation and quantification of cortical layers" Inside this workflow and dataset, you wi ...

Julie Meystre

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Cell density quantification of high resolution Nissl images of the juvenile rat brain

Objective Morphological Classification of Neocortical Pyramidal Cells

Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

Supplementary files for Machine learning for histological annotation and quantification of cortical layers

Nissl_4, Raw images for Machine learning for histological annotation and quantification of cortical layers

Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers

A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex

Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism

Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers

Nissl_6, Raw images for Machine learning for histological annotation and quantification of cortical layers

Nissl_3, Raw images for Machine learning for histological annotation and quantification of cortical layers

Cellpose training data and scripts from "Machine learning for histological annotation and quantification of cortical layers"

Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers