{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["44(3)"],"submitter":["Klijn ME"],"funding":["Karlsruher Institut für Technologie (KIT)"],"pubmed_abstract":["The protein cloud-point temperature (T<sub>Cloud</sub>) is a known representative of protein-protein interaction strength and provides valuable information during the development and characterization of protein-based products, such as biopharmaceutics. A high-throughput low volume T<sub>Cloud</sub> detection method was introduced in preceding work, where it was concluded that the extracted value is an apparent T<sub>Cloud</sub> (T<sub>Cloud,app</sub>). As an understanding of the apparent nature is imperative to facilitate inter-study data comparability, the current work was performed to systematically evaluate the influence of 3 image analysis strategies and 2 experimental parameters (sample volume and cooling rate) on T<sub>Cloud,app</sub> detection of lysozyme. Different image analysis s"],"journal":["Bioprocess and biosystems engineering"],"pagination":["525-536"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7889528"],"repository":["biostudies-literature"],"pubmed_title":["Influence of image analysis strategy, cooling rate, and sample volume on apparent protein cloud-point temperature determination."],"pmcid":["PMC7889528"],"pubmed_authors":["Klijn ME","Hubbuch J"],"additional_accession":[]},"is_claimable":false,"name":"Influence of image analysis strategy, cooling rate, and sample volume on apparent protein cloud-point temperature determination.","description":"The protein cloud-point temperature (T<sub>Cloud</sub>) is a known representative of protein-protein interaction strength and provides valuable information during the development and characterization of protein-based products, such as biopharmaceutics. A high-throughput low volume T<sub>Cloud</sub> detection method was introduced in preceding work, where it was concluded that the extracted value is an apparent T<sub>Cloud</sub> (T<sub>Cloud,app</sub>). As an understanding of the apparent nature is imperative to facilitate inter-study data comparability, the current work was performed to systematically evaluate the influence of 3 image analysis strategies and 2 experimental parameters (sample volume and cooling rate) on T<sub>Cloud,app</sub> detection of lysozyme. Different image analysis s","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Mar","modification":"2025-04-04T13:38:24.817Z","creation":"2021-03-06T08:17:49Z"},"accession":"S-EPMC7889528","cross_references":{"pubmed":["33237399"],"doi":["10.1007/s00449-020-02465-8"]}}