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iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification.

Joana S Paiva1,2,3, Pedro A S Jorge1,2, Rita S R Ribeiro1,3,4

  • 1INESC TEC - INESC Technology and Science, Porto, Portugal.

Scientific Reports
|February 22, 2020
PubMed
Summary

A new intelligent Lab on Fiber (iLoF) device uses Artificial Intelligence to rapidly identify cancer cell types based on their unique surface glycans. This breakthrough offers a faster, more accurate method for personalized cancer screening and cell isolation.

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Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Microfluidics

Background:

  • Personalized medicine demands advanced microdevices for distinguishing similar cancer subtypes.
  • Alterations in cellular glycosylation are key differences in tumor cells, making glycans potential cancer biomarkers.
  • Current methods for detecting specific glycans on circulating tumor cells are time-consuming.

Purpose of the Study:

  • To develop a fast, portable, high-resolution method for single tumor cell identification and isolation.
  • To introduce the intelligent Lab on Fiber (iLoF) device for enhanced cancer screening.
  • To demonstrate the potential of AI in analyzing cellular signals for cancer diagnostics.

Main Methods:

  • Development of an "intelligent" Lab on Fiber (iLoF) device.
  • Application of an Artificial Intelligence approach to analyze back-scattered signals from trapped cells.
  • Utilizing a micro-lensed optical fiber for cell trapping and signal detection.

Main Results:

  • The iLoF device achieved high-resolution, fast, and portable single-cell type identification.
  • Demonstrated accurate discrimination (above 90%) between two human cancer cell models with different glycosylation profiles.
  • Achieved a rapid analysis speed of 2.3 seconds per cell.

Conclusions:

  • The iLoF device offers a significant advancement over current time-consuming cancer screening assays.
  • AI-powered glycan detection shows promise for selective and rapid cancer diagnostics.
  • Future integration into microchips could enable real-time cancer identification and biological characterization of live cells.