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.