InfectoGnostics_Campus

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9 Posts
Forschungscampus, Öffentlich-private Partnerschaft zur Infektionsdiagnostik, Innovationscluster
Hier trötet das InfectoGnostics Team!
🚀Dynamic growth!!! We are very happy with the team of @Dynamic42_Jena: Our partner successfully closed a Series A financing round! 🥂Read more: https://dynamic42.com/dynamic42-raises-mid-seven-figure-investment-in-financing-round/ #Forschungscampus #startup
Dynamic42 raises mid-seven-figure investment in financing round

Innovative organ-on-chip specialist Dynamic42 GmbH has closed a mid-seven-figure financing round. Read more here!

Dynamic42
Vom Biofilm bis zur 3D-Zellkultur: Biotechnische Grundlagen des Disease Modelings - unsere nächste DiagnosTech-Lecture gibt es am 20.06.23 um 14 Uhr | Online mit Prof. Doris Heinrich vom #iba Heiligenstadt https://infectognostics.de/termine/vom-biofilm-bis-zur-3d-zellkultur-biotechnische-grundlagen-des-disease-modelings #Forschungscampus #research 🔬
Vom Biofilm bis zur 3D-Zellkultur: Biotechnische Grundlagen des Disease Modelings

www.infectognostics.de
new research paper: Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via #Raman-#Spectroscopy https://mdpi.com/2319544 #mdpibiosensors via @Biosensors_MDPI
#diagnostics #Forschungscampus
Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy

We introduce a magnetic bead-based sample preparation scheme for enabling the Raman spectroscopic differentiation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-positive and -negative samples. The beads were functionalized with the angiotensin-converting enzyme 2 (ACE2) receptor protein, which is used as a recognition element to selectively enrich SARS-CoV-2 on the surface of the magnetic beads. The subsequent Raman measurements directly enable discriminating SARS-CoV-2-positive and -negative samples. The proposed approach is also applicable for other virus species when the specific recognition element is exchanged. A series of Raman spectra were measured on three types of samples, namely SARS-CoV-2, Influenza A H1N1 virus and a negative control. For each sample type, eight independent replicates were considered. All of the spectra are dominated by the magnetic bead substrate and no obvious differences between the sample types are apparent. In order to address the subtle differences in the spectra, we calculated different correlation coefficients, namely the Pearson coefficient and the Normalized cross correlation coefficient. By comparing the correlation with the negative control, differentiating between SARS-CoV-2 and Influenza A virus is possible. This study provides a first step towards the detection and potential classification of different viruses with the use of conventional Raman spectroscopy.

MDPI
Yesterday, international Early Stage Researchers of the #PHAST-ITN (https://phast-eu.unipr.it) were joining our collaborative workshop how novel technologies can enter the market and get reimbursed. Thanks to @ZEW & POCT-ambulant team @UKJ_Jena for support!

#Forschungscampus
Phast | Home

photonics for healthcare

"A picture is worth a thousand words," says Thilo Figge AppSysBio
. Ruman Gerst from his group has developed the new software JIPipe to make #imageanalysis with #AI easier. The original publication: rdcu.be/c4HEE