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iFIS

Intelligent Fingermark Imaging System

iFIS chemical fingermark visualisation

iFIS enables mass spectrometry experts and law enforcement end users to visualise fingermarks from a chemical perspective which can improve biometric recognition and co-localize chemicals of interest on the fingermark.

Two versions are available: iFIS Ultra for mass spectrometry experts and iFIS for law enforcement end users.

iFIS integrates fingerprint-dedicated image processing tools including image stitching, superimposition, and separation of overlapping fingermarks within a streamlined interface. Moreover, iFIS incorporates a machine learning algorithm that automatically assigns quality grades to each ion image, rapidly identifying those of highest evidential value.

Key Features

  • Vendor neutral
  • User-friendly
  • AI-based image grading
  • Optimized and parallelized algorithms
  • Background processing of computational intensive tasks
iFIS application interface

Data Import

  • Generic .imzml format
  • Waters data native format

Data Analysis

  • Peak detection and pre-processing
  • Spectral and image analysis
  • Statistical analysis: Segmentation, PCA, Colocalization
  • Reporting: automated generation of a standardised forensic report

Image Analysis

  • AI-based image grading: automated assignment of a Scotland Yard quality grade to each fingermark ion image
  • Spatial chaos index: a quantitative measure of spatial structure in ion images
  • Denoise, contrast enhancement, normalization
  • Image stitching and superimposition
  • Co-registration of the m/z ion fingermark image(s) with an optical image, for example of the original lifting containing the mark

System Requirements

  • Microsoft® Windows® 10 64-bit operating system (required)
  • At least 16 GB of RAM (required)
  • SATA III SSD (recommended for large sessions)
  • Intel® Core™ i7 processor or Intel® Xeon® processor (recommended for large sessions)

Publications

  • Francese S. et al, submitted to Forensic Science International, May 2026
  • Poster - ASMS 2026, San Diego, US — view poster