Abstract:Rapid antibacterial susceptibility testing (RAST) methods which measure change of a bacterial phenotype in response to a given treatment are of significant importance in healthcare, as they can assist care-givers in timely administration of the right treatment. Various RAST techniques have been reported for tracking bacterial phenotypes, such as size, shape, motion, and metabolic activity. However, they still require bulky and expensive instruments (which hinders their application in resource-limited environme… Show more
“…Speckle analysis has also been applied to biomass growth kinetic measurements in liquid culture, characterization of Colony Forming Units (CFU) morphology, determination of antibiotic susceptibility [2][3][4][5]. As well as laser speckle imaging techniques in combination with Deep Learning (DL) and Artificial Neural Networks (ANN) have demonstrated a fast system response of antibacterial susceptibility evaluation in MIC (Minimum Inhibitory Concentration) tests [6]. In the presented paper, we will prove that dynamic laser speckle…”
Section: Laser Speckle Imaging For Microorganisms' Growth Analysis In Solid Mediamentioning
confidence: 77%
“…where 9:;: [5,6] is the Fourier transform of -<1[=]⋅? [=−5], a complex function representing the phase and magnitude of the signal over time and frequency; 4) marking and determination of the times and spatial locations of detected signals; 5) marking the growth start times of each 20 × 20 pix square, knowing the location of each square in space and its distance from the colony center (marked manually in step 1), finally the colony radius was calculated as a function of time (Fig.…”
Section: Evaluation Of Colony Growth By the Processing Of Laser Speckle Time Series Imagesmentioning
“…Speckle analysis has also been applied to biomass growth kinetic measurements in liquid culture, characterization of Colony Forming Units (CFU) morphology, determination of antibiotic susceptibility [2][3][4][5]. As well as laser speckle imaging techniques in combination with Deep Learning (DL) and Artificial Neural Networks (ANN) have demonstrated a fast system response of antibacterial susceptibility evaluation in MIC (Minimum Inhibitory Concentration) tests [6]. In the presented paper, we will prove that dynamic laser speckle…”
Section: Laser Speckle Imaging For Microorganisms' Growth Analysis In Solid Mediamentioning
confidence: 77%
“…where 9:;: [5,6] is the Fourier transform of -<1[=]⋅? [=−5], a complex function representing the phase and magnitude of the signal over time and frequency; 4) marking and determination of the times and spatial locations of detected signals; 5) marking the growth start times of each 20 × 20 pix square, knowing the location of each square in space and its distance from the colony center (marked manually in step 1), finally the colony radius was calculated as a function of time (Fig.…”
Section: Evaluation Of Colony Growth By the Processing Of Laser Speckle Time Series Imagesmentioning
“…ML has also been used to selectively detect heavy metal ions in presence of interferents [29]. Convergence of ML and multimodal electrochemical readout to create fingerprint of analytes can help achieve multiplexing with high accuracy [30]. However, ML-assisted electrochemical biosensing is still in inceptive stage [24], [31].…”
“…noisy images [14]) or abstract/recognise useful information from a human-unintelligible set essentially without constructing an explicit model. It seems that so far the number of abstracted classes has been usually limited to several [21][22][23][24].…”
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