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, Evelio E. Ramírez-Miquet, Isabel Otero, Dania Rodríguez, 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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