Real time and online dynamic speckle assessment of growing bacteria using the method of motion history image.
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.
Indian School of Mines, Department of Applied Physics, Biomedical Optics Laboratory, Dhanbad, Jharkhand 826004, India.
Mohammad Zaheer
MZ
Ansari
Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear, Calle 30 No. 502, Miramar, C. P. 11300 La Habana, Cuba.
Evelio E
EE
Ramírez-Miquet
Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear, Calle 30 No. 502, Miramar, C. P. 11300 La Habana, Cuba.
Isabel
I
Otero
Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear, Calle 30 No. 502, Miramar, C. P. 11300 La Habana, Cuba.
Dania
D
Rodríguez
Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear, Calle 30 No. 502, Miramar, C. P. 11300 La Habana, Cuba.
Juan G
JG
Darias
D000465:Algorithms; D001419:Bacteria / Q000254:growth & development*; D001431:Bacteriological Techniques / Q000379:methods*; D009038:Motion; D009862:Online Systems