Cucumber mosaic virus detection by artificial neural network using multispectral and multimodal imagery

Kouakou, Anicet K.; Bagui, Olivier K.; Agneroh, Thérèse Atcham; Soro, Pénétjiligué Adama; Zoueu, Jérémie T.

doi:10.1016/j.ijleo.2016.09.035

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…Several studies have reported the use of multispectral microscopy in the detection of malaria without fluorescent labelling of cells 10,11 and the early detection of plant diseases. 12,13 However, there is a need to improve spatial resolution and noise performance in these systems. We, therefore, present an implementation of a TMSR-based microscopy system that seeks to improve thin blood smear image contrast via a multispectral approach.…”

Section: Introductionmentioning

confidence: 99%

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Yebouet

Diby

Kaduki

et al. 2020

J. Spectral Imaging

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We report the use of Time Multiplexing Super Resolution (TMSR) to reduce significantly speckle noise in spectral imaging microscopy of unstained thin blood smear samples of malaria-infected blood. The method is based on combining speckle illumination with a moving array serving as an encoding mask. We propose the use of a new encoding mask to improve the performance of the conventional TMSR method. The new mask is a two-dimensional generalisation of the one- dimensional Ipatov code. The mask is projected on the object and 13 low-resolution images captured and subsequently decoded properly using the same array. The low contrast images are added and extracted from the resulting reconstruction, giving a super-resolved, high-contrast image. The Ipatov filter used in this work performs better than the Barker filter.

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Section: Introductionmentioning

confidence: 99%

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Yebouet

Diby

Kaduki

et al. 2020

J. Spectral Imaging

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“…This system was utilised as an alternative tool for staining-free malaria diagnosis. [12][13][14] The same instrument was also used to study, analyse, predict and build statistical models of infected tropical plant leaves [15][16][17] to enhance agricultural production. The potential of this optical microscope to spectrally differentiate and classify the samples' content also made it a valuable tool for biological diagnostic approaches.…”

Section: Introductionmentioning

confidence: 99%

Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection

Kossonou

Zoueu

2020

J. Spectral Imaging

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In this paper, we present the progress made in developing multimodal and multispectral light microscopy for label-free malaria diagnosis. Our previously developed light emitting diode (LED) illumination system was replaced by laser diodes as light sources in order to narrow the spectral bands and improve the effectiveness of the contrast function for infected blood cell detection. The acquisition system is now equipped with an algorithm for automatic field scanning and best in-focus determination. We demonstrate the potential of this platform to provide multiple investigation modalities like transmission, reflection, scattering, fluorescence, excitation, emission and polarisation. The application of this platform on malaria-infected samples has shown the effectiveness of such a system in label-free and all-optical malaria detection by allowing the possibility of using a different type of imaging set-up for the samples analysed. Also, fewer illumination sources are used to characterise malaria-infected red blood cells compared to our previous works on malaria detection using LEDs illumination sources.

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Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review

Teet

Hashim

2023

Food Control

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Cucumber mosaic virus detection by artificial neural network using multispectral and multimodal imagery

Cited by 8 publications

References 14 publications

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection

Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review

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