8 June 2016 Real time and online dynamic speckle assessment of growing bacteria using the method of motion history image
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Abstract
This paper reports the application of the motion history image (MHI) method for biospeckle processing of a bacterial growth. The method avoids the complexity as well as the large computation in sequence-matching-based methods and detects whether the speckle structure has changed or not. Encouraging experimental results on the real-time evolution of the growing bacteria during 12 h demonstrate the effectiveness of the proposed method. The MHI presented an online result without loss of resolution and definition. In turn, the MHI also presented the ability to provide a close answer to the traditional offline method of generalized differences.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Mohammad Zaheer Ansari, Mohammad Zaheer Ansari, Evelio E. Ramírez-Miquet, Evelio E. Ramírez-Miquet, Isabel Otero, Isabel Otero, Dania Rodríguez, Dania Rodríguez, Juan G. Darias, Juan G. Darias, } "Real time and online dynamic speckle assessment of growing bacteria using the method of motion history image," Journal of Biomedical Optics 21(6), 066006 (8 June 2016). https://doi.org/10.1117/1.JBO.21.6.066006 . Submission:
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