Journal: Journal of Clinical Microbiology

Article Title: Real-Time Optical Antimicrobial Susceptibility Testing

doi: 10.1128/JCM.00440-13

Figure Lengend Snippet: The oCelloScope detection system. (a) Picture of the detection system with a standard 96-well plate inserted. (b) Simplified engineering drawing of the detection principle. A volume of 50 μl of a growing bacterial culture is scanned, resulting in a stack of images. Each image can be transformed to a two-dimensional (2D) picture. (c) 2D picture of S. alactolyticus from the scanning process. The magnitude is comparable to an ×200 magnification in a standard light microscope.

Article Snippet: The basic principle behind the oCelloScope detection system (Unisensor Ltd.) is digital time-lapse microscopy scanning through a fluid sample, generating series of images.

Techniques: Transformation Assay, Light Microscopy

Journal: Journal of Clinical Microbiology

Article Title: Real-Time Optical Antimicrobial Susceptibility Testing

doi: 10.1128/JCM.00440-13

Figure Lengend Snippet: Bacterial growth of S. aureus assessed by the oCelloScope and traditional OD measurements. (a) Growth was measured by optical density in a standard laboratory spectrophotometer with one cuvette. The absorbance was measured at 600 nm. (b) Growth was measured by optical density (absorbance, 655 nm) using a standard laboratory plate reader with a 96-well plate. (c) Growth was measured by optical density using the oCelloScope pixel histogram summation (PHS) algorithm. (d) Growth was measured by the oCelloScope segmentation and extraction of surface area (SESA) algorithm. (e) Pictures taken by the oCelloScope showing bacterial growth to different time points. All experiments were done as eight replicates, and standard derivations are shown as error bars on the curves. Scale bar, 50 μm.

Article Snippet: The basic principle behind the oCelloScope detection system (Unisensor Ltd.) is digital time-lapse microscopy scanning through a fluid sample, generating series of images.

Techniques: Spectrophotometry

Journal: Journal of Clinical Microbiology

Article Title: Real-Time Optical Antimicrobial Susceptibility Testing

doi: 10.1128/JCM.00440-13

Figure Lengend Snippet: Bacterial growth of aerobic and anaerobic bacteria with (green line) or without (blue line) an antibiotic measured by the oCelloScope using the SESA algorithm. (a) S. aureus grown for 6 h with or without penicillin G; (b) E. coli grown for 6 h with or without polymyxin B; (c) S. Typhimurium grown for 6 h with or without spectinomycin; (d) S. alactolyticus grown for 6 h with or without rifampin. All experiments were done in triplicate, each consisting of eight iterations. Standard derivations are shown as error bars on the curves.

Article Snippet: The basic principle behind the oCelloScope detection system (Unisensor Ltd.) is digital time-lapse microscopy scanning through a fluid sample, generating series of images.

Techniques:

Journal: Journal of Clinical Microbiology

Article Title: Real-Time Optical Antimicrobial Susceptibility Testing

doi: 10.1128/JCM.00440-13

Figure Lengend Snippet: Bacterial growth measured by the oCelloScope in short time intervals. (a) Growth of E. coli with (green line) or without (blue line) polymyxin B. Bacteria were grown for 3 h and scanned every minute. (b) The first 30 min from panel a are shown close up. Results are expressed as mean values (±SD) from triplicate experiments, each representing 8 iterations. Statistical differences were analyzed using multiple t tests with the false-discovery rate set to 1%. The asterisk indicates that values are significantly (P < 0.01) different from those for bacteria incubated with polymyxin B.

Article Snippet: The basic principle behind the oCelloScope detection system (Unisensor Ltd.) is digital time-lapse microscopy scanning through a fluid sample, generating series of images.

Techniques: Incubation

Journal: Journal of Clinical Microbiology

Article Title: Real-Time Optical Antimicrobial Susceptibility Testing

doi: 10.1128/JCM.00440-13

Figure Lengend Snippet: Bacterial growth in urine samples from pigs suffering from catheter-associated urinary tract infections (CAUTIs) measured by the oCelloScope and analyzed by the SESA algorithm. Urine samples were collected from three pigs with CAUTIs, and bacterial growth was analyzed in samples incubated with or without antibiotics. (a) Picture of infected urine samples taken by a light microscope. The total magnification is ×100. Erythrocytes and bacteria are visible in the counting chamber. (b) Picture of a urine sample from a pig taken by the oCelloScope. (c) Picture of a pig with a catheter for urine collection. (d) Analysis of urine samples, from three different pigs, diluted with Müller-Hinton (MH) broth and incubated with levofloxacin. (e) Analysis of urine samples, from three different pigs, diluted with MH broth and incubated with tetracycline. (f) Analysis of urine samples, from three different pigs, diluted with MH broth and incubated with a combination of ticarcillin and clavulanic acid. Pos con, positive control. (A movie of the bacteria from pig 1 is available as Video S3 in the supplemental material.)

Article Snippet: The basic principle behind the oCelloScope detection system (Unisensor Ltd.) is digital time-lapse microscopy scanning through a fluid sample, generating series of images.

Techniques: Incubation, Infection, Light Microscopy, Positive Control