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Participants convey support and curiosity, as seen in posts expressing excitement about applying Raman spectroscopy to microbiology and referencing the research paper, using words like 'excited,' 'advance,' and 'recent manuscript.' The tone indicates a positive attitude toward the potential of this technology for improving microbial contamination detection, reflecting a moderate level of engagement and perceived impact.
Participants express enthusiasm and support for the research advancements in microbial detection using deep learning and Raman spectroscopy.
Comments show moderate curiosity, highlighting ongoing interest in technological improvements and applications in microbiology and biotech.
Discussions include references to previous work and mention of the manuscript, indicating active engagement but limited in detailed critique or debate.
The focus on advancing analytical tools suggests perceived significant influence on microbiological detection and biotechnology fields.
Here is our recent manuscript on detecting microbial contamination using Raman spectra based deep learning. https://t.co/RfMIcUESdX
RT @CHOculturePaper:
@PurdueEngineers @PurduEngFaculty @PurdueME @PurdueABE @PurdueBME @PurdueChemE @ardekani1 @rgd_art @purduepharmacy @Research_Purdue We are excited to advance the applications of Raman spectroscopy and build on our previous work with microbes! (https://t.co/6BkfruVO7O)
This video summarizes a study on using Raman spectra-based deep learning to identify microbial contamination in biologics production, focusing on CHO cells. The approach achieves high accuracy, enhancing process…
This video explores how machine learning, specifically neural networks, can optimize CHO cell cultivation for improved therapeutic protein production, increasing efficiency by up to 48%.
RT @CHOculturePaper:
@PurdueEngineers @PurduEngFaculty @PurdueME @PurdueABE @PurdueBME @PurdueChemE @ardekani1 @rgd_art @purduepharmacy @Research_Purdue We are excited to advance the applications of Raman spectroscopy and build on our previous work with microbes! (https://t.co/6BkfruVO7O)
Here is our recent manuscript on detecting microbial contamination using Raman spectra based deep learning. https://t.co/RfMIcUESdX
Bustamante, Science258, 1122 (1992). Crossref · PubMed · Web of Science ... https://doi.org/10.1002/mbo3.96 · Crossref. David S. Goodsell,. Eukaryotic cell ...
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