Research Excellence
Tale Research is built on a simple commitment: open methods, peer-reviewed components, and numbers that trace back to the image or signal they came from. No proprietary black boxes between raw data and clinical read.
Built from components anyone can cite.
FreeSurfer SynthSeg for parcellation, MNE-Python for EEG band decomposition, validated PSD methods throughout. The whole stack is published, inspectable, and reproducible — not a proprietary classifier hiding behind a logo.
Every number points back to the voxels or the signal.
Each percentile, asymmetry index, and band-power score traces to the structure or the EEG window it was computed from. Click a region in the report and jump straight to its segmentation in the viewer. No score appears that you can't audit.
205-subject reference cohort, documented and expandable.
Volumetric percentiles are computed against an open normative MRI cohort with documented inclusion criteria and demographics. Age- and sex-matched. Designed to grow as collaborating sites contribute their own scans.
The analysis runs where the data lives.
Both platforms are designed to run inside the clinic or the research network. No PHI leaves the local environment, no patient data is required for licensing, and the deployment fits the constraints IRBs and IT security teams actually have.
