Irene Costantini

The paper develops a method to label and map myelinated fibers in human brain tissue using light-sheet fluorescence microscopy and automated image analysis, enabling high-resolution structural characterization.

This paper develops a 3D imaging pipeline for automated quantitative cellular phenotyping of FFPE human brain tissues, revealing cytoarchitectural features in patients with cortical development malformations.

This study characterizes anisotropic light scattering in human white matter by measuring tensor components and correlating them with axon fiber orientation.

This paper introduces a semi-supervised segmentation model for identifying supragranular and infragranular layers in human cerebral cortex MRI scans with high precision.

The paper develops BRANT, a tool for whole-brain neuronal activation mapping in mice, revealing strong sexual dimorphism in fear memory circuits.

This paper develops a method to 3D molecularly characterize cleared human brain tissues using light-sheet fluorescence microscopy.

The paper develops an imaging pipeline to create a cell census of the human cerebral cortex using MRI, immunohistochemistry, and light-sheet fluorescence microscopy.

The paper presents a method combining immunostaining, SWITCH/TDE clearing, and confocal microscopy to map neurons in human cerebral cortex slices, addressing challenges in labeling and clearing.

This paper introduces a pipeline for 3D analysis of human brain cytoarchitecture at micrometer resolution, enabling quantitative evaluation of neuronal density and volume across different brain regions and subjects.

The paper introduces MAGIC, a label-free fluorescence method for 3D high-resolution reconstruction of myelinated fibers in large volumes, demonstrating its application on multiple species brain samples.

This paper introduces a method to reconstruct whole-brain vasculature at the single capillary level using CLARITY, vascular staining, and light-sheet fluorescence microscopy.

This study demonstrates that Bessel beams improve the sensitivity and accuracy of functional imaging in light-sheet microscopy by reducing artifacts and enhancing detection of calcium transients and activity correlations.