Work

Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale

Year: 2025

Type: article

Abstract: The laser speckle technique provides a non-invasive remote sensing method for monitoring biological dynamics. In this study, we focus on assessing microbial growth through systematic comparison of correlation-based speckle image analysis methods. We compare conventional techniques, NCC, ZNCC, the Lewis method, and Phase correlation, with two newly proposed variants: frequency-domain correlation of normalized images and ZNCC with limited shifts around the peak. We analyze these methods in terms of precision and computational efficiency. Our results demonstrate that the proposed techniques offer optimal trade-offs for tracking subtle microbial activity, particularly in early-stage growth. This paper aims not only to identify the most effective tools for laser speckle analysis, but also to justify the use of laser speckle imaging for microbial activity assessment.

Source: Sensors

DOI: 10.3390/s25185772

Authors: Ilya Balmages, Katrina Smite, Dmitrijs Bļizņuks, Aigars Reinis, Alexey Lihachev, Ilze Lihacova

Institutions: Riga Technical University, Pauls Stradiņš Clinical University Hospital, Riga Stradiņš University, University of Latvia

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Latvijas Zinātnes Padome