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POINT-OF-CARE DEVICES

Holographic diagnosis of lymphoma

Nature Biomedical Engineering volume 2, pages 631–632 (2018)Cite this article

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A holographic approach relying on small-molecule chromogens enables a rapid and inexpensive test for the accurate classification of aggressive lymphoma at the point of care.

About 70% of cancer-related mortalities occur in low- and middle-income countries (LMICs)1. Advanced techniques for cancer diagnosis such as immunohistochemistry, flow cytometry and genetic analysis usually require complicated equipment and highly trained professionals — two assets that are commonly lacking in LMICs2. Portable and inexpensive diagnostic tools with ‘sample-in, answer-out’ ability that can both detect cancer and classify the cancer-positive samples according to malignant phenotypes are critical for the proper recommendation of treatment in LMICs. Writing in Nature Biomedical Engineering, Ralph Weissleder, Cesar Castro and co-workers now report a point-of-care (POC) device that uses contrast-enhanced micrography (CEM) and machine learning for the accurate classification of lymphoma3. In addition, the researchers tested the device’s capabilities in a small prospective trial.

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Fig. 1: Standalone device, based on contrast-enhanced microholography, for the diagnosis of lymphoma.

References

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Authors and Affiliations

  1. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA

    Varun L. Kopparthy, Ryan Snodgrass & David Erickson

Authors
  1. Varun L. Kopparthy
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  2. Ryan Snodgrass
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  3. David Erickson
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Correspondence to David Erickson.

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Kopparthy, V.L., Snodgrass, R. & Erickson, D. Holographic diagnosis of lymphoma. Nat Biomed Eng 2, 631–632 (2018). https://doi.org/10.1038/s41551-018-0291-1

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