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Related Experiment Video

Updated: Apr 24, 2026

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
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Allo-antibody identification: a software approach!

Aseem Kumar Tiwari1, Ravi C Dara1, Dinesh Arora1

  • 1Department of Transfusion Medicine, Medanta-The Medicity, Sector-38, Gurgaon 122001, India.

Transfusion and Apheresis Science : Official Journal of the World Apheresis Association : Official Journal of the European Society for Haemapheresis
|September 14, 2014
PubMed
Summary

Resolving unexpected red blood cell allo-antibodies is complex. A new software, Resolvigen, shows high agreement with manual methods and is user-friendly, suggesting it can aid or replace current allo-antibody identification processes.

Keywords:
Allo-antibodyAllo-immunizationIrregular antibodyResolvigen

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Area of Science:

  • Transfusion Medicine
  • Immunology
  • Clinical Laboratory Science

Background:

  • Allo-antibody identification is a complex serological test requiring expertise in antibody behavior, antigen zygosity, and dosage effects.
  • Specialized software utilizing algorithms for antibody characteristics can aid in allo-antibody specificity interpretation.
  • Evaluating the efficacy of such software against established manual methods is crucial for clinical adoption.

Purpose of the Study:

  • To assess the effectiveness of Resolvigen software in allo-antibody identification.
  • To compare the results of automated allo-antibody identification with the manual method.
  • To evaluate the user-friendliness and predicted future utility of the Resolvigen software.

Main Methods:

  • A retrospective observational study was conducted on 238 allo-antibody results.
  • Resolvigen software was used to re-evaluate the identified allo-antibodies.
  • Investigator feedback on usefulness, ease of use, and predicted future usage was collected via a Likert scale questionnaire.

Main Results:

  • Agreement between manual and Resolvigen software methods ranged from 98.6% for single antibodies to 65% for multiple antibodies.
  • The Resolvigen software was rated as very useful and easy to use by investigators.
  • High predicted future usage for the software was reported.

Conclusions:

  • Resolvigen software demonstrates significant agreement with manual allo-antibody identification methods.
  • The software is perceived as user-friendly with high potential for future clinical application.
  • Resolvigen can serve as a valuable tool, either replacing or complementing routine manual allo-antibody identification procedures.