Hyperspectral Camera – Attachment for Microscopy

Hamza, Mohammed M.; Hamandi, Ali; Makarov, A.R.; Подлипнов, В. В.; Скиданов, Р. В.

doi:10.18287/jbpe21.07.030405

Cited by 2 publications

(1 citation statement)

References 11 publications

(11 reference statements)

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“…Meanwhile, various tissue pathologies can be visualized by analyzing spatial distribution information provided by hyperspectral imaging, which diagnoses the tissue pathology. Hyperspectral microscopy enables the analysis of biological samples by acquiring spectral information at each pixel [3]. In medicine, hyperspectral visualization has been increasingly used for disease detection, in vitro diagnostics, surgical guidance, scientific research, and so on.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Blood vessel visualization technology allows nursing staff to transition from traditional palpation or touch to locate the subcutaneous blood vessels to visualized localization by providing a clear visual aid for performing various medical procedures accurately and efficiently involving blood vessels; this can further improve the first-attempt puncture success rate for nursing staff and reduce the pain of patients. We propose a novel technique for hyperspectral visualization of blood vessels in human skin. An experiment with six participants with different skin types, race, and nationality backgrounds is described. A mere separation of spectral layers for different skin types is shown to be insufficient. The use of three-wavelength indices in imaging has shown a significant improvement in the quality of results compared to using only two-wavelength indices. This improvement can be attributed to an increase in the contrast ratio, which can be as high as 25%. We propose and implement a technique for finding new index formulae based on an exhaustive search and a binary blood-vessel image obtained through an expert assessment. As a result of the search, a novel index formula was deduced, allowing high-contrast blood vessel images to be generated for any skin type.

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Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Hyperspectral images neural network analysis of unstained micropreparations

Pirogov,

Nikonorov,

Muzyka

et al. 2023

2023 IX International Conference on Information Technology and Nanotechnology (ITNT)

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The article presents the results of a study of hyperspectral imaging in microscopy to assess pathological changes in unstained medical micropreparations. Hyperspectral imaging was carried out using a system of synchronous shooting and movement of a movable table combined with a stepper motor. To improve the quality of the obtained images, software correction of the illumination of the spectral channels was used. The classification was carried out by a convolutional neural network. This method may be promising for assessing pathological changes in clinical practice. Experimental studies were carried out on histological preparations with different types of tissues without staining with contrasting medical dyes. To assess the reliability of the classification method, a comparison was made with the standard method using staining of the studied samples.

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Hyperspectral Camera – Attachment for Microscopy

Cited by 2 publications

References 11 publications

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hyperspectral images neural network analysis of unstained micropreparations

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