Martin Leverkus 2026-11-05
Martin Leverkus coauthored the 2016 crystal violet assay protocol with Maria Feoktistova and Peter Geserick. The paper's affiliations connect the collaboration with molecular dermatology at Mannheim and dermatology at Aachen.[ref] Its scientific value includes making an assay's biological interpretation explicit: less retained stain does not, by itself, identify a particular mechanism of cell death.
A useful distinction is between reduced cell proliferation and increased cell death. An original constant-rate model gives
where and are per-cell proliferation and death rates. Parameter pairs and give the same net growth rate. Starting from 10000 cells, both predict approximately 14918 after ten hours, although only the first model includes ongoing deaths.
A staining endpoint proportional to retained cell number would not distinguish those two histories. Time-resolved counting or a measurement specific to a death process supplies additional information. Moreover, altered attachment or staining can invalidate the assumed proportionality before that biological comparison even begins. This is why the protocol's requirement for additional characterization matters.[ref] The calculation is an original identifiability example, not a reconstruction of Leverkus's data.
Figure 1.
Martin Leverkus, portrait accompanying the Cell Death Discovery memorial
. External portrait from the memorial to Martin Leverkus.
Peter Geserick 2026-11-05
Peter Geserick coauthored the 2016 crystal violet assay protocol with Maria Feoktistova and Martin Leverkus.[ref] The method uses retained attachment of cultured cells as an indirect readout relevant to survival and growth. The authors caution that identifying why staining declines requires additional methods.[ref]
This distinction connects a biological endpoint with a measurement model. The observed crystal violet biomass response can change through cell number, attachment, stain binding or extraction. These contributions cannot generally be separated by one absorbance reading.
An original normalization example has background-corrected control and treatment signals and . Their ratio is . If each also includes an unremoved background , the ratio of raw readings is instead
Background subtraction is therefore part of defining the compared quantity. Even the corrected ratio is not automatically the surviving fraction: the amount retained per living cell must also remain comparable, and handling must not remove different fractions of otherwise viable cells. A matching negative control and an independent observation address these different assumptions. These numbers illustrate the model rather than an experiment assigned to Geserick individually.