Shrava™ — AI-Powered Urine Sediment Analyser

✓ CE Certified

AI100 Application

Urine Sediment Analyser

An AI application to analyse urine sediment. It identifies and pre-classifies multiple elements present in urine sediment

Element types

HPFs per sample

40+

Samples per hour

40x

Magnification

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Shrava— Element classification gallery

What Shrava™ Detects

Complete urine sediment characterisation

Shrava™ analyses all major categories of urine sediment elements, providing semi-quantitative and quality results with visual evidence for pathologist confirmation.

Cells & Organisms

Automated identification and counting of all cellular elements in urine sediment — with per-high-power-field (HPF) quantification.

•Red blood cells
•Pus cells / WBCs
•Epithelial cells
•Yeast cells
•Bacteria (bacilli & cocci)

Casts

Detection and classification of urinary casts — cylindrical structures formed in kidney tubules that indicate the location and severity of renal pathology.

Crystals

Automated identification of crystalline structures, providing diagnostic context for metabolic disorders and infections

•Calcium oxalate crystals
•Uric acid crystals
•Triple phosphate crystals

Clinical Applications

Conditions detected by Shrava™

Urine microscopy with Shrava™ supports the diagnosis and monitoring of urological, renal and metabolic conditions.

Infections

•Urinary tract infection (UTI)
•Bacterial infections
•Fungal infections (Yeast)

Renal Conditions

•Glomerulonephritis
•Nephrotic syndrome
•Acute tubular necrosis

Metabolic

•Urolithiasis (kidney stones)
•Gout (uric acid crystals)
•Internal trauma (haematuria)

Workflow

How Shrava™ works

From urine sample to structured sediment report — fully automated and pathologist-reviewed.

Sample Preparation

The raw uncetrifuged urine specimen is loaded into SigTuple's proprietary Urine cartridge - GS200μ. After loading 100μL, place the cartridge on a horizontal surface for 5 minutes and then insert the cartridge in AI100

Automated Scanning

The AI100 robotically scans the slide across multiple fields at the appropriate magnification — capturing comprehensive, high-resolution images of the entire sediment spread systematically.

AI Element Detection & Classification

The captured images will be uploaded to cloud. In cloud, Shrava™'s AI models identify and classify every element in the sediment images — cells, casts, crystals and organisms — assigning type, count and clinical significance flags to each.

Structured Report with Visual Evidence

A structured report is generated with element counts (per HPF), visual image galleries of each category and automatic clinical flags — giving the pathologist complete visual evidence for each finding.

Remote Pathologist Review

The pathologist reviews and edits the report from any browser — from any location. They can zoom into any element gallery, override AI classifications and add clinical notes before final sign-off.

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