Nanocytometer for smart analysis of peripheral blood and acute myeloid leukemia: A pilot study

Julian Schütt, Diana Isabel Sandoval Bojorquez, Elisabetta Avitabile, Eduardo Sergio Oliveros Mata, Gleb Milyukov, Juliane Colditz, Lucia Gemma Delogu, Martina Rauner, Anja Feldmann, Stefanie Koristka, Jan Moritz Middeke, Katja Sockel, Jürgen Fassbender, Michael Bachmann, Martin Bornhäuser, Gianaurelio Cuniberti, Larysa Baraban

Research output: Contribution to journalArticlepeer-review


We realize an ultracompact nanocytometer for real-time impedimetric detection and classification of subpopulations of living cells. Nanoscopic nanowires in a microfluidic channel act as nanocapacitors and measure in real time the change of the amplitude and phase of the output voltage and, thus, the electrical properties of living cells. We perform the cell classification in the human peripheral blood (PBMC) and demonstrate for the first time the possibility to discriminate monocytes and subpopulations of lymphocytes in a label-free format. Further, we demonstrate that the PBMC of acute myeloid leukemia and healthy samples grant the label free identification of the disease. Using the algorithm based on machine learning, we generated specific data patterns to discriminate healthy donors and leukemia patients. Such a solution has the potential to improve the traditional diagnostics approaches with respect to the overall cost and time effort, in a label-free format, and restrictions of the complex data analysis.

Original languageEnglish (US)
Pages (from-to)6572-6581
Number of pages10
JournalNano Letters
Issue number9
StatePublished - Sep 9 2020


  • PBMCs
  • POC diagnostics
  • acute myeloid leukemia (AML)
  • impedance cytometer
  • machine learning for data treatment
  • nanosensor

ASJC Scopus subject areas

  • Bioengineering
  • General Chemistry
  • General Materials Science
  • Condensed Matter Physics
  • Mechanical Engineering


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