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Douglas B. Kell

Researcher at University of Liverpool

Publications -  657
Citations -  55792

Douglas B. Kell is an academic researcher from University of Liverpool. The author has contributed to research in topics: Systems biology & Dielectric. The author has an hindex of 111, co-authored 634 publications receiving 50335 citations. Previous affiliations of Douglas B. Kell include Max Planck Society & University of Wales.

Papers
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Rapid and quantitative analysis and bioprocesses using pyrolysis mass spectrometry and neural networks: application to indole production

TL;DR: The combination of ANNs and PyMS was able quantitatively to detect the component indole when a single straing of E. coli, containing the tryptophanase gene, was grown on a minimal supplemented salts medium incorporating various amount of tryptophile, in the range 0–253 mg/l.
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On the dielectric properties of cell suspensions at high volume fractions

TL;DR: The correction factor for the non-linear relationship between Δϵ′ and P is indeed independent of the cell radius, which has the important and useful consequence that a simple calibration curve of dielectric increment vs. dry weight or cell numbers permits one to determine the specific enclosed volume of the strain of interest.
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On the extent of localization of the energized membrane state in chromatophores from Rhodopseudomonas capsulata N22.

TL;DR: The apparent paradox is solved by the proposal, consistent with the available evidence on the mode of action of uncouplers, that uncoupler binding causes a co-operative conformation transition in the chromatophore membrane, which leads to uncoupling and which is not present in the absence of uncOUpler.
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Prevalence of symptoms, comorbidities, fibrin amyloid microclots and platelet pathology in individuals with Long COVID/Post-Acute Sequelae of COVID-19 (PASC)

TL;DR: In this article , the authors report on the comorbidities and persistent symptoms, using data obtained from 845 South African Long COVID-19 (PASC) patients, and suggest that their platelet and clotting grading system provides a simple and cost-effective diagnostic method for early detection of long COVID/PASC as a major determinant of effective treatment.
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Automatic tracking of biological cells and compartments using particle filters and active contours

TL;DR: Prior information from a particle filter provides a reasonable initialisation for the active contour method and prevents it from being trapped in local minima and makes it possible to track complex cellular processes automatically.