Poster preview
ePoster
MONITORING WHOLE BRAIN PLAQUE BURDEN WITH PROTEOSTAT<SUP>®</SUP> AND LIGHT SHEET MICROSCOPY
Francesca Cattoand 1 co-author
IMAI MedTech
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS07-10AM-168
Presentation
Date TBA
Board: PS07-10AM-168
Event Information
Poster Board
PS07-10AM-168
Poster
View posterAbstract
Protein aggregation and extracellular amyloid plaque deposition are hallmarks of various neurodegenerative disorders. They show pronounced regional and temporal heterogeneity in distribution, density, and response to treatments that complicates assessment of therapeutic efficacy. We present a powerful experimental toolkit for whole brain visualization and quantification of protein aggregates in rodent models using PROTEOSTAT® staining of solvent cleared tissue combined with high resolution light sheet imaging. Brains were cleared with a modified iDISCO protocol on an automated processing platform and imaged using an opensource light sheet microscope mesoSPIM. A modified electrophoretic clearance step enhanced label penetration and signal uniformity, enabling robust detection of α synuclein, Aβ, tau, and other aggregated proteins. Volumetric image analysis yields dense 3D maps of aggregate burden that allow to analyse region specific deposition patterns and heterogeneous responses to anti aggregation interventions not evident in 2D histology. The methodology is compatible with multiplex immunostaining and amenable to co-registration with transcriptomic atlases to link aggregate topography with molecular signatures. Whole brain analysis of protein aggregates and plaque formation with PROTEOSTAT® thus provides a sensitive, high content readout. This tool has the potential to empower mechanistic studies or preclinical evaluation of anti-aggregation therapies, advancing development and assessment of next generation therapies for neurodegenerative diseases
Recommended posters
MULTISCALE MAPPING OF AD PATHOLOGY IN THE HUMAN BRAIN
Lisa Broisin, Christophe Lamy
DECODING NEUROIMMUNITY WITH SPATIAL MULTIOMICS IN A MOUSE MODEL OF ALZHEIMER’S DISEASE
Josue Ballesteros, Marion Bonnet, Cansaran Saygili Demir, Kim Van Den Handel, Samuel Aubert, Pedro Machado Almeida, Debia Wakhloo, Anushka Dikshit, Maria-Giuseppina Procopio, Saska Saska
ADVANCED TISSUE CLEARING APPROACHES FOR 3D PATHOLOGICAL BRAIN INVESTIGATION
Danila Di Meo, Laura Perego, Josephine Ramazzotti, Beatrice Lorenzon, Samuel Bradley, Federica Fenizi Caria, Giacomo Mazzamuto, Francesco Saverio Pavone, Irene Costantini
A MULTIMODAL RAT BRAIN ATLAS AND WHOLE-BRAIN LIGHT-SHEET IMAGING PLATFORM FOR MAPPING AND QUANTIFICATION OF CNS DATASETS
Sheyla Barrado Ballestero, Micaela Roque, Katrine Skovgård, Heidi Kleven, Alexander Hamilton, Johanna Perens, Mario Corral-Bolaños, Elena Espa, Hanna Vila Merkle, Rajmund Mokso, Carsten Gundlach, Maria Angela Cenci, Jacob Hecksher-Sørensen, Anders Bjorholm Dahl, Tim B. Dyrby, Trygve B. Leergaard, Urmas Roostalu
SMALL FRAGMENTS OF AB FOR THE DIAGNOSIS OF ALZHEIMER´S DISEASE AND PREDICTION OF ARIA IN IMMUNOTHERAPY
Fanni Újvárosi, Sara Tran, Jie Gao, Line Amundsen, Emilie Gasparini, Brage Milch Johannesen, Ingrid Kjønstad, Vebjørn Andersson, Ira R. J. Hebold Haraldsen, Erik Christensen, Maria J. Lagartos-Donate
MULTISCALE 3D IMAGING AND QUANTITATIVE PHENOTYPING OF PATHOLOGICAL HUMAN BRAIN TISSUE
Danila Di Meo, Michele Sorelli, Laura Perego, Josephine Ramazzotti, Beatrice Lorenzon, Samuel Bradley, Federica Fenizi Caria, Giacomo Mazzamuto, Alejandro Martinez Bueno, Daniele Martella, Aron Emmi, Andrea Porzionato, Rita Garbelli, Valerio Conti, Renzo Guerrini, Francesco Saverio Pavone, Irene Costantini