Depolarization metric spaces for biological tissues classification

Eeckhout, Albert Van; García-Caurel, Enric; Ossikovski, Razvigor; Lizana, Ángel; Rodríguez, Carla; González‐Arnay, Emilio; Campos, Juan

doi:10.1002/jbio.202000083

Cited by 19 publications

(12 citation statements)

References 51 publications

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“…We now further analyze the potential of those observables to discriminate between different typologies (healthy or diseased tissues) of plant structures. To do so, we represent the measured data on different polarimetric spaces 41 , this leading to a very intuitive visualization of data, and also providing quantitative information of the structures (or tissue types) that may be present in the images of the probed samples. Moreover, the data in each ROI is collected and grouped in what we call a data-cloud which can be used for ulterior statistical data treatment or for graphical representation.…”

Section: Resultsmentioning

confidence: 99%

Polarimetric observables for the enhanced visualization of plant diseases

Rodríguez

García-Caurel

Garnatje

et al. 2022

Sci Rep

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This paper highlights the potential of using polarimetric methods for the inspection of plant diseased tissues. We show how depolarizing observables are a suitable tool for the accurate discrimination between healthy and diseased tissues due to the pathogen infection of plant samples. The analysis is conducted on a set of different plant specimens showing various disease symptoms and infection stages. By means of a complete image Mueller polarimeter, we measure the experimental Mueller matrices of the samples, from which we calculate a set of metrics analyzing the depolarization content of the inspected leaves. From calculated metrics, we demonstrate, in a qualitative and quantitative way, how depolarizing information of vegetal tissues leads to the enhancement of image contrast between healthy and diseased tissues, as well as to the revelation of wounded regions which cannot be detected by means of regular visual inspections. Moreover, we also propose a pseudo-colored image method, based on the depolarizing metrics, capable to further enhance the visual image contrast between healthy and diseased regions in plants. The ability of proposed methods to characterize plant diseases (even at early stages of infection) may be of interest for preventing yield losses due to different plant pathogens.

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Section: Resultsmentioning

confidence: 99%

Polarimetric observables for the enhanced visualization of plant diseases

Rodríguez

García-Caurel

Garnatje

et al. 2022

Sci Rep

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“…A depolarization space gives information not just on how much light is depolarized but also on how it is depolarized by the sample. The definition of a depolarization space is not unique 52,53 and a choice must be done based on multiple criteria such as discrimination power between depolarization metrics, computation time, adequacy to the physical problem treated among others 54 . The depolarization space used in this work is composed by the IPPs 55 , which can be directly deduced from the measured Mueller matrix of the sample.…”

Section: Methodsmentioning

confidence: 99%

Polarimetric imaging microscopy for advanced inspection of vegetal tissues

Eeckhout

García-Caurel

Garnatje

et al. 2021

Sci Rep

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Optical microscopy techniques for plant inspection benefit from the fact that at least one of the multiple properties of light (intensity, phase, wavelength, polarization) may be modified by vegetal tissues. Paradoxically, polarimetric microscopy although being a mature technique in biophotonics, is not so commonly used in botany. Importantly, only specific polarimetric observables, as birefringence or dichroism, have some presence in botany studies, and other relevant metrics, as those based on depolarization, are underused. We present a versatile method, based on a representative selection of polarimetric observables, to obtain and to analyse images of plants which bring significant information about their structure and/or the spatial organization of their constituents (cells, organelles, among other structures). We provide a thorough analysis of polarimetric microscopy images of sections of plant leaves which are compared with those obtained by other commonly used microscopy techniques in plant biology. Our results show the interest of polarimetric microscopy for plant inspection, as it is non-destructive technique, highly competitive in economical and time consumption, and providing advantages compared to standard non-polarizing techniques.

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“…30 The former also was observed to provide high classification efficiency and contrast in biological tissues. 31,32…”

Section: Mueller Matrix Calculation and Analysismentioning

confidence: 99%

Histopathological correlations of bulk tissue polarimetric images: Case study

Sharma

Sujatha

Balasubramanian

et al. 2021

Journal of Biophotonics

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Polarimetric imaging and image analysis have gained increased interest in soft tissue analysis at the cellular level. However, polarimetric imaging has widely been tested on thin tissue sections to provide reliable information correlated with histopathological findings. Polarimetric bulk tissue analysis always offered an overall assessment of various tissue optical properties for diagnosis. In this study, the histopathological correlation of bulk tissue polarimetry images for soft tissues is discussed. The first-hand information on the use of bulk tissue Mueller polarimetry and image analysis as an alternative to tissue histopathology is presented for surgically extracted colon and breast tissues.

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Depolarization metric spaces for biological tissues classification

Cited by 19 publications

References 51 publications

Polarimetric observables for the enhanced visualization of plant diseases

Polarimetric observables for the enhanced visualization of plant diseases

Polarimetric imaging microscopy for advanced inspection of vegetal tissues

Histopathological correlations of bulk tissue polarimetric images: Case study

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