Digitization and artificial intelligence are finding their way into viticulture
Registration for the interlaboratory study "Estrogenic effects" for the detection of estrogens and estrogenic activity is now open
QuoData at the BVL Symposium 2020
Dates for the QuoData online events 2021
QuoData Web-Seminars 2021: Quality assurance in food microbiology, evaluation of proficiency tests and in-house validation
The popular QuoData web-seminars will take place again in 2021. The events, in which participation will only be possible online, deal with various topics of quality assurance.
Validation, verification and determination of measurement uncertainty for Microbiologists - a QuoData webinar series providing expert knowledge for analytical quality assurance
Validation, verification and determination of measurement uncertainty for Microbiologists -a QuoData webinar series providing expert knowledge for analytical quality assurance.
In recent years, a number of norms and standards have been developed to define approaches and procedures for quality assurance of microbiological test methods.
The highly relevant series of standards ISO 16140 and ISO 19036, are intricately examined in a comprehensive webinar series curated by QuoData, specifically tailered for laboratories in the field of food microbiology.
Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches
Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches
Osterwalder, Uli; Uhlig, Steffen; Colson, Bertrand; Vollhardt, Jürgen (2020)
Published in:
Cosmetics & Toiletries 135 (4), p. 40-52
Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches
Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches
Uhlig, Steffen; Nichani, Kapil; Uhlig, Carsten; Simon, Kirsten (2020)
Published in:
medRxiv https://www.medrxiv.org/content/10.1101/2020.04.17.20059535v1.full.pdf+html
Al-based identification of grain cultivars via non-target mass spectrometry
Al-based identification of grain cultivars via non-target mass spectrometry
Nichani, Kapil; Uhlig, Steffen.; Colson, Bertrand.; Hettwer, Karina.; Simon, Kirsten.; Bönick, Josephine; Uhlig, Carsten.; Rawel, Harshadrai M.; Stoyke, Manfred.; Gowik, Petra.; Huschek, Gerd (2020)
Published in:
CEQAT-DGHS interlaboratory tests for chemical safety: Validation of laboratory test methods by determining the measurement uncertainty and probability of incorrect classification including so-called "Shark profiles"
CEQAT-DGHS interlaboratory tests for chemical safety: Validation of laboratory test methods by determining the measurement uncertainty and probability of incorrect classification including so-called "Shark profiles"
Uhlig, Steffen; Hettwer, Karina; Simon, Kirsten; Terytze, Konstantin (2020)
CEQAT-DGHS interlaboratory tests for chemical safety: Validation of laboratory test methods by determining the measurement uncertainty and probability of incorrect classification including so-called "Shark profiles"
CEQAT-DGHS interlaboratory tests for chemical safety: Validation of laboratory test methods by determining the measurement uncertainty and probability of incorrect classification including so-called "Shark profiles"
Lüth, Peter; Uhlig, Steffen; Frost, Kirstin; Malow, Marcus; Michael-Schulz, Heike; Schmidt, Martin; Zakel, Sabine (2020)