Colony fingerprint for discrimination of microbial species based on lensless imaging of microcolonies.

摘要: Detection and identification of microbial species are crucial in a wide range industries, including production beverages, foods, cosmetics, pharmaceuticals. Traditionally, colony formation its morphological analysis (e.g., size, shape, color) with naked eye have been employed for this purpose. However, such conventional method is time consuming, labor intensive, not very reproducible. To overcome these problems, we propose novel that detects microcolonies (diameter 10-500 μm) using lensless imaging system. When comparing images five microorganisms from different genera (Escherichia coli, Salmonella enterica, Pseudomonas aeruginosa, Staphylococcus aureus, Candida albicans), the showed obvious features. Being closely related species, St. aureus epidermidis resembled each other, but could extract substantial information (colony fingerprints) physiological features, linear discriminant fingerprints distinguished two 100% accuracy. Because system may offer many advantages as high-throughput testing, lower costs, more compact equipment, ease automation, it holds promise detection various academic industrial areas.