Bell Jar

Bell Jar semiautomates alignment and annotation of mouse brain tissue sections with a reference atlas, enabling cellular-resolution fluorescent signal detection for high-throughput neuroanatomy studies.

Key Features:

• Semiautomated Registration: Aligns and annotates tissue sections with anatomical structures from a reference atlas.
• Cellular Resolution Detection: Detects fluorescent signals including cell bodies or nuclei.
• Robust Alignment: Utilizes Mattes mutual information-directed B-spline transformations to achieve precise alignments even with damaged sample tissues.
• User Fine-Tuning: Requires user input for fine-tuning section matches.

Scientific Applications:

• Mouse Neurohistology Analysis: Enables comprehensive anatomical analysis through registration of experimental brain samples to a reference atlas.
• High-Throughput Neuroanatomy: Supports rapid analyses in large-scale neuroanatomy studies.
• Histological Analysis: Improves reproducibility and throughput of histological analyses compared to traditional manual and existing automated methods.

Methodology:

Bell Jar employs Mattes mutual information-directed B-spline transformations for precise alignment of tissue sections to a reference atlas, with user input for fine-tuning section matches.