Food Microbiology
Food Molds
Food preservatives inhibit the growth of molds, yeasts, and bacteria, extending shelf life while ensuring safety.
The oCelloScope enable scientists to conduct fast and sensitive preservatives assays. Typical assay time is overnight and format is 96 wells.
1. Rapid Spore Quantification.
A deep learning algorithm tracks spores from dormancy to isotropic growth. One a germ tube is formed algorithm let go and scientists get to quantify exactly when and how many spores in a population that germinates under given conditions.
2. Rapid Filamentation Quantification.
A deep learning algorithm tracks hyphae from 15 µm in length for precise MIC value quantification
All good experiments starts with correct numbers
Replace your manual counts with precise, fast and consistent technology to automate your counting tasks. BioSense Solutions provide 2 different solutions for precision counting.
1. µCount3D. The automated cell counter is the only available counter for microbiology capable of counting bacteria in a volume. For molds and yeasts counting is based on deep learning algorithms.
2. oCelloScope. 70 µl of spore solution will settle on the bottom of a 96 well plate in 20 minutes. We use deep learning algorithms to count a large area and provide spores / ml in high throughput.
oCelloScope in probiotics discovery
Left: Aqueous samples of sour cream produced by fermentation of milk and starter culture with the addition of bioprotective strains (+BioP) compared to those without (–BioP).The growth was compared to growth in pure saline peptone (Pepsal) and a control in saline peptone
Right: Debaryomyces hansenii grown in pepsal containing peptide exhibits altered morphology. Representative images from the oCelloScope 96-well plate fungal growth inhibition assay.
oCelloScope in food mold discovery
Aspergillus niger, or black mold, is a common fungus that appears on decomposing starchy fruits and vegetables as well as on damp walls as a component of mildew. Many of our users study Aspergillus niger and germination of spores. In the view on the right you see a snip from the UniExplorer software showing the growth kinetics of germinating spores.
Note, that we are using the SESA Fungi algorithm which detects not only area of an organism with a dark outline but also measure area of brighter/transparent organisms such as fungi. The algorithm makes the platform superior to using a plate-reader.
Preservatives testing in 384 well multi-well plates.
Left: yeast spike experiment in 5 different matrices (Cola, Apple Juice, Non-filtered Beer, Energy drink and 0.1% NaCl). Samples were inoculated with yeast and experimpent set to run for 27 hours with imaging of wells every 30 minutes. Growth kinetics module was chosen and shows growth of yeast in Apple Juice and Non-filtered beer. No growth was detected in Cola, Energy drink or 0.1% NaCl. Time point images of growth are inserted for non-filtered beer and apple juice. Note, the fast detection time in the automated system.
The oCelloScope can be used to test new preservatives against fungi, yeast and bacteria in high throughput. In addition, testing quarantined batches of beverages can lead to a faster release of products and thus a longer shelf life.
Segmentation of a complex sample composed of yeast cells and 1µm beads.
Analyse complex samples and discriminate between different morphology
With the build-in segmentation algorithms, the UniExplorer software enables the user to automatically perform single cell analysis and discriminate and characterize the dynamics of different cell types in a complex sample.
More than 20 morphological features, including cell size and shape factors of each single object can be calculated and visualized in scatter plots and histograms, enabling the user to group the desired objects and analyse the morphology changes over time of the desired group.
As an example, discrimination between vegetative cells and spores in fungi or bacterial sporulation experiments can be performed.
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