Prof. Dr. med. Cleo-Aron Weis, M.Sc.
Scientific SupervisorScientific supervision and strategic oversight of DPARS; Head of Computational Pathology Heidelberg.
DPARS is a modular orchestration platform designed to connect heterogeneous whole-slide imaging workflows with metadata intelligence, quality control, standards-based conversion, delivery and retention-aware archival.

DPARS separates responsibilities into observable services so each step can evolve independently while preserving provenance across the workflow.
Inspired by the DPARS presentation: heterogeneous scanner output enters a controlled, traceable processing layer before clinical delivery. The workflow below stays inside a horizontally scrollable frame on smaller screens.
SVS · NDPI · TIFF · other WSI formats
Routes heterogeneous scanner output into the appropriate DPARS path.
Reads label and file metadata, resolves identity and standardizes naming.
Evaluates focus, sharpness and image-quality signals before downstream processing.
Creates a normalized full-resolution WSI derivative for supported routing scenarios.
Creates standards-oriented DICOM WSI output with validation.
Tracks delivery state, retries and transfer toward PACS.
Managed access for the diagnostic workflow.
Multi-route metadata extraction combines fast paths with deeper barcode and OCR strategies when needed.
BABELSHARK →Image-quality metrics create explicit checkpoints before downstream conversion and delivery.
QC →Format-aware normalization and DICOM conversion reduce dependence on a single scanner ecosystem.
WSI-FORGE + DICOMIZER →Transfer state, retries, durations and failures remain observable rather than disappearing into a black box.
UPLOADER →Long-term storage policy is separated from the clinical processing path and governed by validation-first rules.
WALL-E →Database-backed lineage and orchestration provide a coherent operational view across independently evolving modules.
DPARS CORE →Full-resolution derivatives support active processing. Reduced-resolution archival derivatives belong to a separate lifecycle and never re-enter the processing pipeline.
Scanner → metadata/routing → quality gate → normalization when required → DICOM conversion → controlled delivery.
Database-driven retention eligibility → reduced-resolution OME-TIFF derivative → independent validation → future cleanup eligibility under fail-closed safety rules.
A conceptual walkthrough of how DPARS turns heterogeneous scanner output into an observable, standards-oriented digital pathology workflow.
Scientific leadership and project responsibilities are shown together—without turning the team into a ranking.
Scientific supervision and strategic oversight of DPARS; Head of Computational Pathology Heidelberg.
Overall project coordination, platform architecture, cross-service integration, orchestration and data-lineage design; responsibility for BabelShark, WSI-Forge and Wall-E.
Responsible for the DPARS Quality Control service and its operational integration.
Responsible for DICOM conversion and the downstream upload service.
Institutional affiliation/titles and DPARS project responsibilities are intentionally separated. Portrait blocks are ready for approved public profile photographs.
DPARS focuses on the operational gap between scanner output and downstream clinical or research systems: identity, metadata, quality, interoperability, traceability and lifecycle management. The architecture is modular so individual services can be tested, replaced and extended without collapsing the workflow into one monolithic application.