Dynamic laser speckle for non-destructive quality evaluation of bread

Coherent illumination of a diffuse object yields a randomly varying interference pattern, which changes over time at any modification of the object. This phenomenon can be used for detection and visualization of physical or biological activity in various objects (e.g. fruits, seeds, coatings) through statistical description of laser speckle dynamics. The present report aims at non-destructive full-field evaluation of bread by spatial-temporal characterization of laser speckle. The main purpose of the conducted experiments was to prove the ability of the dynamic speckle method to indicate activity within the studied bread samples. In the set-up for acquisition and storage of dynamic speckle patterns an expanded beam from a DPSS laser (532 nm and 100mW) illuminated the sample through a ground glass diffuser. A CCD camera, adjusted to focus the sample, recorded regularly a sequence of images (8 bits and 780 x 582 squared pixels, sized 8.1 × 8.1 μm) at sampling frequency 0.25 Hz. A temporal structure function was calculated to evaluate activity of the bread samples in time using the full images in the sequence. In total, 7 samples of two types of bread were monitored during a chemical and physical process of bread's staling. Segmentation of images into matrixes of isometric fragments was also utilized. The results proved the potential of dynamic speckle as effective means for monitoring the process of bread staling and ability of this approach to differentiate between different types of bread.

[1]  James N. BeMiller,et al.  Bread Staling: Molecular Basis and Control. , 2003, Comprehensive reviews in food science and food safety.

[2]  T G van Leeuwen,et al.  Speckles in laser Doppler perfusion imaging. , 2006, Optics letters.

[3]  Roberto A. Braga,et al.  Dynamic Laser Speckle and Applications , 2008 .

[4]  Charles Joenathan,et al.  Temporal and spatial properties of the time-varying speckles of botanical specimens , 1995 .

[5]  J D Briers,et al.  Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. , 1996, Journal of biomedical optics.

[6]  Roberto A. Braga,et al.  Assessment of Seed Viability by Laser Speckle Techniques , 2003 .

[7]  Mikiya Muramatsu,et al.  Application of biospeckle phenomenon on monitoring of leavening process in breadmaking , 2008 .

[8]  Héctor Rabal,et al.  Analysis of bacterial chemotactic response using dynamic laser speckle. , 2009, Journal of biomedical optics.

[9]  H Fujii,et al.  Evaluation of blood flow by laser speckle image sensing. Part 1. , 1987, Applied optics.

[10]  Theo Lasser,et al.  High-speed laser Doppler perfusion imaging using an integrating CMOS image sensor. , 2005, Optics express.

[11]  Alain Le-Bail,et al.  Influence of inulin on bread: Kinetics and physico-chemical indicators of the formation of volatile compounds during baking , 2010 .

[12]  Jonathan M. Huntley,et al.  Improved understanding of biscuit checking using speckle interferometry and finite-element modelling techniques , 2005, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  Héctor Rabal,et al.  Display of local activity using dynamical speckle patterns , 2002 .

[14]  Roberto A. Braga,et al.  Live biospeckle laser imaging of root tissues , 2009, European Biophysics Journal.

[15]  Roberto A. Braga,et al.  Detection of fungi in beans by the laser biospeckle technique , 2005 .

[16]  Adilson Machado Enes,et al.  Reliability of biospeckle image analysis , 2007 .

[17]  Héctor Rabal,et al.  Speckle time evolution characterization by the co-occurrence matrix analysis , 1999 .