CALHippo

The Cellular Annotation Library for the Hippocampus

Overview

CALHippo (Cellular Annotation Library for the Hippocampus) is a cell-level dataset for the right human hippocampus in BigBrain, published along the MICCAI 2026 paper (available here) and developed at the University of Modena and Reggio Emilia. CALHippo is designed for cell segmentation, cell classification, and mesoscale hippocampal analysis and is supported by the official CALHippo framework on GitHub.

Why CALHippo

Existing BigBrain-based hippocampal reconstructions are limited by the lack of expert-validated, cell-level annotations across the CA subfields. This limits quantitative modeling, since biologically plausible circuit simulations require reliable estimates of cellular composition and anatomical distribution.

CALHippo addresses this gap by enabling cell-type-aware analysis of the human hippocampal CA complex, supporting research in cell segmentation, classification, density estimation, and quantitative hippocampal modeling.

The Dataset

The release includes:

  • High-Resolution Annotations - 24 high-resolution slices with expert-validated annotations across the Cornu Ammonis (CA1CA2CA3, and CA4) complexes with class labels (Fig. A).
  • Point Cloud Reconstruction - mesoscale three-class point cloud covering the entire hippocampal CA regions (Fig. B).

Dataset Structure

Field

Value

Region

Right hippocampal CA complex

Annotated subfields

CA1, CA2, CA3, CA4

High-resolution slices

24

Resolution

1 µm/px

Cell classes

3

Point cloud

Included

License

CC BY-NC-SA 4.0 


High-Resolution Annotations

For each CA region and section, the release includes:

  • *_HR_crop.tif: cropped high-resolution image
  • *_bbox_hr.json: crop bounding box in full-image coordinates
  • *_contours_hr.geojson: CA contour in crop coordinates
  • *_classification_results.geojson: predicted cell contours and classes

Point Cloud

point_cloud.csv contains the columns:

Column

Description

world_x, world_y, world_z

Point coordinates in the BigBrain world coordinate system

class

Cell class label: 0 excitatory neuron, 1 inhibitory interneuron, 2 glial cell

count

Number of cells sampled at that location

ca_area

CA region label: 1 CA1, 2 CA2, 3 CA3, 4 CA4

3D Visualization

Point cloud visualization of the three cellular classes in all the right hippocampal CA regions. Points are not single detected cells, as in the csv, but aggregate samples for easier visualization.

Loading 3D model(s)…

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Additional resources
Paper
https://federicobolelli.it/media/publications/pdfs/Paper-0727.pdf
CALHippo Framework
https://github.com/AImageLab-zip/CALHippo-Framework
Pre-Trained Models
https://huggingface.co/AImageLab-Zip/CALHippo-Framework-Models

How to cite

If you use our dataset, you must cite the following papers.

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