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Image-based second opinion for blood typing

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Abstract

This paper considers a new method for providing a recommendation (second opinion) for a laboratory assistant in manual blood typing based on serological plates. The manual method consists of two steps: preparation and analysis. During preparation step the laboratory assistant needs to fill each well of a plate with a blood sample and a reagent mixture according to methodological guidelines. In the second step it is necessary to visually determine the result of the reactions, named agglutination. Despite the popularity of this method, it is slow and highly influenced by human factor, which cause blood typing errors. To increase the quality and performance of the analysis step, we propose a novel neural-based classification method. Our solution provides a fast way to fill the results into a laboratory system. We collected a new large dataset consisting of 3139 well images with GTs from donors’ medical history and six experts’ assessment for each. We showed that the proposed solution based on state-of-the-art architectures is comparable with the best expert and has 2.75 times fewer errors than the average one, with an overall accuracy equal to 98.4%. Taking into account the low-semantic nature of the task, we also considered shallow neural networks, which showed accuracy comparable with state-of-the-art models.

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Data availability

A test portion of the dataset and sample code will be publicly available once the journal accepts publication.

Notes

  1. Antigens within one system share structural and genetic similarities.

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Acknowledgements

The authors are sincerely grateful to Yury Butorin for consultations on issues in serology field and help with the dataset collection.

Funding

The study was done with a support of the state assignment of IO RAS (theme No. FFNU-2024- 0025).

Author information

Author notes

  1. Sergey Korchagin and Ekaterina Zaychenkova have contributed equally to this work.

Authors and Affiliations

  1. Institute for Information Transmission Problems, Moscow, Russia

    Sergey Korchagin, Ekaterina Zaychenkova, Egor Ershov & Pavel Pishchev

  2. Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Sergey Korchagin, Ekaterina Zaychenkova, Egor Ershov & Pavel Pishchev

  3. LLC “SYNTECO”, Elektrogorsk, Russia

    Yuri Vengerov

Authors
  1. Sergey Korchagin
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  2. Ekaterina Zaychenkova
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  3. Egor Ershov
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  4. Pavel Pishchev
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  5. Yuri Vengerov
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Corresponding author

Correspondence to Sergey Korchagin.

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The authors have no Conflict of interest to declare that are relevant to the content of this article.

Ethical approval

The study was carried out in accordance with the Declaration of Helsinki (2013). The experimental procedure was approved by the ethics board of the Institute for Information Transmission Problems. The data is completely anonymized and can be published.

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Korchagin, S., Zaychenkova, E., Ershov, E. et al. Image-based second opinion for blood typing. Health Inf Sci Syst 12, 28 (2024). https://doi.org/10.1007/s13755-024-00289-4

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