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Related Experiment Video

Updated: Jan 7, 2026

Combined In vivo Optical and µCT Imaging to Monitor Infection, Inflammation, and Bone Anatomy in an Orthopaedic Implant Infection in Mice
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A Novel Approach for Tissue Analysis in Joint Infections Using the Scattered Light Integrating Collector (SLIC).

Elio Assaf1, Cosmea F Amerschläger1, Vincent B Nessler1

  • 1Department of Orthopedics and Trauma Surgery, University Hospital Bonn, 53127 Bonn, Germany.

Biosensors
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

This pilot study introduces Scattered Light Integrating Collector (SLIC) technology for rapid bacterial detection in joint tissue samples. Simple sample preparation and cryopreservation protocols enable quick diagnosis of periprosthetic joint infections (PJI).

Keywords:
bacteriadetectiondiagnosismusculoskeletal infectionsperiprosthetic joint infectionsseptic arthritis

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Area of Science:

  • Biomedical Engineering
  • Infectious Diseases
  • Diagnostic Technology

Background:

  • Total joint arthroplasty is a common procedure with increasing frequency.
  • Accelerating the diagnosis of periprosthetic joint infection (PJI) is critical for effective treatment.
  • Current diagnostic methods for PJI can be time-consuming.

Purpose of the Study:

  • To evaluate the feasibility of Scattered Light Integrating Collector (SLIC) technology for detecting bacterial growth in human joint tissue samples.
  • To establish foundational sample preparation protocols for optimizing bacterial growth depiction using SLIC.
  • To investigate the reliability of SLIC for diagnosing PJI using solid tissue biopsies.

Main Methods:

  • Prospective study including adult patients with native or periprosthetic joint infections.
  • Biopsies obtained via sequential sampling with bacterial density optimization through titration series.
  • Investigation of cryopreservation effects and agents influencing coagulation on sample analysis with SLIC.
  • Evaluation of different sample volumes (25 µL to 300 µL).

Main Results:

  • Simple pretreatment of tissue samples aids in detecting pathogen growth.
  • No addition of coagulation-influencing agents showed a clear advantage.
  • Protocols remained reliable after cryopreservation at -20 °C for up to 8 weeks.
  • Comparable results were observed for sample storage at -80 °C for up to 8 weeks.
  • Similar outcomes were achieved across tested sample volumes (25 µL to 300 µL).

Conclusions:

  • SLIC technology offers a simple, quick method for detecting bacterial growth in joint tissue biopsies.
  • Established protocols enable SLIC to indicate bacterial infection within 5 hours.
  • This technique provides a potential novel approach for diagnosing PJI and septic arthritis.
  • The study lays a solid foundation for further clinical research on SLIC for PJI diagnosis.