The slide contains
the diagnosis.
The label contains
the patient.
SlideIQ™ de-identifies whole-slide images at three surfaces simultaneously - TIFF metadata, embedded label images, and LIMS barcodes - before any WSI file reaches an AI model or research pipeline.
Everyone de-identifies the tile.
Nobody de-identifies the label.
Whole-slide imaging carries patient identity in three distinct locations. TIFF metadata headers are the most visible - but the embedded macro image (which includes the physical slide label, often hand-written or barcoded) and LIMS integration fields are routinely missed by standard de-identification pipelines.
Three surfaces. One pipeline.
SlideIQ processes every location where patient identity can survive standard TIFF export.
TIFF & vendor metadata
Full TIFF header de-identification including ImageDescription, XMP namespaces, Aperio and Leica proprietary fields. Configurable retain / remove / pseudonymise per field.
Label image redaction
The macro region of a WSI contains a photograph of the physical slide - including the label, which often shows patient name, barcode, or handwritten notes. SlideIQ automatically detects and removes this region with a model trained on pathology slide formats.
LIMS barcode unlinking
Barcodes embedded in slide labels link back to LIMS patient records. SlideIQ pseudonymises or removes barcode values, replacing them with a consistent study-level token that preserves research cohort integrity without retaining the original reference.
The SlideIQ™ pipeline.
Built for every major scanner vendor.
SlideIQ handles all major WSI formats natively, including proprietary variants. No format conversion required before de-identification.