Autofluorescence spectroscopy for determining cell confluency
Authors: Derrick Yong, Ahmad Amirul Abdul Rahim, Jesslyn Ong, May Win Naing
Abstract: Patient-specific therapies require that cells be manufactured in multiple batches of small volumes, making it a challenge for conventional modes of quality control. The added complexity of inherent variability (even within batches) necessitates constant monitoring to ensure comparable end products. Hence, it is critical that new non-destructive modalities of cell monitoring be developed. Here, we study, for the first time, the use of optical spectroscopy in the determination of cell confluency. We exploit the autofluorescence properties of molecules found natively within cells. By applying spectral decomposition on the acquired autofluorescence spectra, we are able to further discern the relative contributions of the different molecules, namely flavin adenine dinucleotide (FAD) and reduced nicotinamide adenine dinucleotide (NADH). This is then quantifiable as redox ratios (RR) that represent the extent of oxidation to reduction based upon the optically measured quantities of FAD and NADH. Results show that RR is significantly higher for lower confluencies ($\leq$50$\%$), which we attribute to the different metabolic requirements as cells switch from individual survival to concerted proliferation. We validate this relationship through bio-chemical assays and autofluorescence imaging, and further confirmed through a live-dead study that our measurement process had negligible effects on cell viability.
Explore the paper tree
Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant
Look for similar papers (in beta version)
By clicking on the button above, our algorithm will scan all papers in our database to find the closest based on the contents of the full papers and not just on metadata. Please note that it only works for papers that we have generated summaries for and you can rerun it from time to time to get a more accurate result while our database grows.