Multi-Organism Bacterial Imaging Dataset

The dataset encompasses 10 clinically relevant bacterial organisms, each represented through two distinct imaging modalities, resulting in 20 unique classification classes. Organisms The dataset includes the following 10 bacterial organisms: Aspergillus niger - A filamentous fungus commonly found in soil and food, used as a model organism for industrial applications Bacillus subtilis - A Gram-positive, rod-shaped bacterium, widely studied for its spore-forming capabilities and industrial applications Candida albicans - A yeast-like fungus and opportunistic pathogen, significant in clinical microbiology Clostridium sporogenes - A Gram-positive, spore-forming anaerobic bacterium, important in food safety and clinical diagnostics Enterococcus faecalis - A Gram-positive bacterium, clinically significant for its role in hospital-acquired infections and antibiotic resistance Escherichia coli - A Gram-negative rod-shaped bacterium, extensively studied model organism and indicator of fecal contamination Klebsiella pneumoniae - A Gram-negative bacterium, clinically important for its association with nosocomial infections and multidrug resistance Pseudomonas aeruginosa - A Gram-negative opportunistic pathogen, known for its resistance to antibiotics and biofilm formation Staphylococcus aureus - A Gram-positive coccus, clinically significant pathogen associated with various infections and antibiotic resistance Streptococcus pyogenes - A Gram-positive coccus, responsible for various human infections including strep throat and skin infections