Journal: RSC Advances

Article Title: Toward sustainable diagnostics for Candida albicans : the role of artificial intelligence in analytical chemistry from data processing to Python-based blueness and redness evaluation metrics

doi: 10.1039/d6ra00286b

Figure Lengend Snippet: Analytical methods for detection of candida albicans

Article Snippet: 2. Bioconjugate concanavalin A to CdTe-MSA QDs with specific labeling of on hyphae and yeast C. albicans cells. , 2. Labeling with QDs-(Con A) conjugated to antibodies with high-resolution labeling of biofilms both in vitro and in vivo . , 2. Conjugation: QDs : Con A ratio 1000 : 1, pH 8.0, 2 h incubation at room temperature with gentle stirring. , 2. UV-vis Absorption spectroscopy: spectrophotometer (thermo scientific)..

Techniques: Labeling, Fluorescence, Spectroscopy, Cell Culture, Suspension, Circular Dichroism, Confocal Microscopy, Flow Cytometry, In Vitro, In Vivo, Conjugation Assay, Incubation, Gentle, Spectrophotometry, Concentration Assay, Isolation, Raman Spectroscopy, Metabolic Labelling, Bacteria, Diagnostic Assay, Colorimetric Assay, Binding Assay, Sample Prep, Software, Biomarker Discovery, Infection, In Situ Hybridization, Sequencing, Microscopy, Hybridization, Transmission Assay, Enzyme-linked Immunosorbent Assay, Centrifugation, Nuclear Magnetic Resonance, Structural Proteomics, Derivative Assay, Selection, Electrophoresis, Red Blood Cell Lysis, Quantitation Assay, Mass Spectrometry, Gas Chromatography, Disruption, Produced, Impedance Spectroscopy, Activation Assay, Blocking Assay, Activity Assay, Construct, Förster Resonance Energy Transfer, Real-time Polymerase Chain Reaction, Saline, Clinical Proteomics, Membrane, Functional Assay