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. 2022 Nov 15;12(1):19565.
doi: 10.1038/s41598-022-24176-8.

A new approach for microstructure imaging

Benoît Plancoulaine  1   2 , Allan Rasmusson  3   4 , Christophe Labbé  5 , Richard Levenson  6 , Arvydas Laurinavicius  3   4
Affiliations

A new approach for microstructure imaging

Benoît Plancoulaine et al. Sci Rep. .

Abstract

A recurring issue with microstructure studies is specimen lighting. In particular, microscope lighting must be deployed in such a way as to highlight biological elements without enhancing caustic effects and diffraction. We describe here a high frequency technique due to address this lighting issue. First, an extensive study is undertaken concerning asymptotic equations in order to identify the most promising algorithm for 3D microstructure analysis. Ultimately, models based on virtual light rays are discarded in favor of a model that considers the joint computation of phase and irradiance. This paper maintains the essential goal of the study concerning biological microstructures but offers several supplementary notes on computational details which provide perspectives on analyses of the arrangements of numerous objects in biological tissues.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Three computational methods (2, 3, 4) deployed to study photonics-based phenomena.
Figure 2
Figure 2
Single water bubble at the left, the irradiance contour in an “xz” plane and at the right, several irradiance profiles (arbitrary scale).
Figure 3
Figure 3
Three water bubbles: at the left, (a) “xz” plane, (b) “yz” plane and (c) “xy” plane, and at the right, the irradiance contour in an “xz” plane with several images in gray levels (arbitrary Y scale).
Figure 4
Figure 4
Two complex water bubble distributions (left: “xz” planes, right: “yz” planes).
Figure 5
Figure 5
Left: experiment with a microscope using incoherent lighting. Right: image simulation using coherent lighting.
Figure 6
Figure 6
At the left, four digital images acquired by means of a MUSE microscope of Hoechst and rhodamine-stained 5-µm sections, and at the right, same images superimposed with the images processed by the high frequency technique: (a) slice of colorectal cancer tissue, (b) slice of renal medulla (normal), (c) slice of renal cortex (normal), (d) slice of breast cancer tissue.
See this image and copyright information in PMC

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