Rubber tree bark slice panorama generation method

Abstract

The invention relates to the technical field of image data processing, and discloses a rubber tree bark slice panorama generation method, which comprises the following steps of: taking a proper bark sample from a diameter at breast height of a rubber tree; the method comprises the following steps: fixing a sample, dehydrating, performing latex denaturation and dyeing, dehydrating and transparentizing, permeating wax and embedding, slicing, dewaxing, dyeing, slicing and dehydrating, and transparentizing and sealing; a common optical microscope is matched with a 4 * objective lens to carry out image acquisition, equidistant shooting is carried out along a Z-shaped path of rubber tree barks, the overlapping area of adjacent images is larger than or equal to 25%, and the resolution of a single image is larger than or equal to 4088 * 3072 pixels. Through an extremely simple technical route of Z-shaped full-coverage shooting and general image splicing software, the dependence on an expensive automatic microscopic platform is eliminated, and the equipment investment and the operation and maintenance cost are greatly reduced. Under the condition that hardware does not need to be transformed, a high-resolution and seamlessly spliced bark panorama can be generated, the shooting and processing flow is remarkably accelerated, and a breast duct array and a ray structure are kept complete and continuous.

Description

Technical Field

[0001] This invention relates to the field of image data processing technology, specifically to a method for generating panoramic images of rubber tree bark slices. Background Technology

[0002] In intelligent breeding of rubber trees, quantitative analysis of the latex system in the cross-section of the bark is a core step in the selection of high-yield germplasm. However, this step has long been limited by the inherent defects of microscopic imaging methods: traditional optical microscopes, due to their narrow field of view, can only photograph local areas one by one. Manually moving the stage is not only inefficient, but also prone to differences in brightness and darkness and geometric misalignment between adjacent images, leading to breakage of latex columns and rays, resulting in large deviations in statistical results. While research-grade automatic microscopic scanning platforms can achieve large-area high-resolution imaging, they rely on expensive precision electric stages and dedicated software. The system is closed and complex to maintain, making it difficult for grassroots units to undertake. Moreover, its general stitching algorithm lacks targeted optimization for the unique "regular latex columns + variable rays" texture of rubber tree bark, and latex misalignment and seam marks are still obvious, requiring a lot of manual correction.

[0003] To address this issue, those skilled in the art have proposed a method for generating panoramic images of rubber tree bark slices. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for generating panoramic images of rubber tree bark slices. This method overcomes the problems of high-cost reliance on automated platforms, limited local field of view, and distortion of latex duct counting caused by misalignment of splicing seams in existing rubber tree bark microscopic imaging.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for generating panoramic images of rubber tree bark slices, comprising the following steps:

[0006] Take a suitable bark sample from the diameter at breast height of the rubber tree;

[0007] Samples undergo pretreatment including fixation, dehydration, latex denaturation and staining, dehydration and clearing, paraffin infiltration and embedding, sectioning, dewaxing, staining, sectioning and dehydration, clearing and mounting;

[0008] Images were acquired using a standard optical microscope with a 4× objective lens, and photographed at equal intervals along a zigzag path of the rubber tree bark. The overlap between adjacent images was ≥25%, and the resolution of a single image was ≥4088×3072 pixels. Automatic exposure was turned off.

[0009] Image stitching is performed using image processing software, including loading image groups, executing stitching commands, selecting automatic layout mode, and outputting the panoramic image after uniformly adjusting the brightness and contrast of the panoramic image.

[0010] The above technical solution allows for the acquisition of high-fidelity, seamless panoramic images of rubber tree bark at extremely low cost, making the latex ducts and ray structures continuously visible, thus providing a rapid and reliable digital basis for high-yield rubber tree breeding.

[0011] Preferably, the rubber tree bark slice pretreatment step further includes:

[0012] Sampling: Take circular pieces of bark with a diameter of 15-18 mm from rubber trees that are 13 years or older;

[0013] Fixation: Use 80% ethanol by volume for vacuum fixation for 24–29 hours or more;

[0014] Dehydration: The sample was first dehydrated in 95%±2% ethanol for 2-3 hours, and then dehydrated in anhydrous ethanol 3-5 times, each time for 1.5-1.8 hours;

[0015] Latex denaturation and staining: The sample was first soaked in glacial acetic acid for 4-6 hours, then treated in I-Br treatment solution at 60-69℃ for 36 hours, and then washed with glacial acetic acid 3 times, each time for 1.5-1.8 hours;

[0016] Dehydration and clearing: The sample was dehydrated in anhydrous ethanol 3 to 5 times, each time for 1.5 to 1.8 hours, then transitioned in anhydrous ethanol and n-butanol for 1 to 1.5 hours, and cleared in n-butanol three times, each time for 2 to 2.5 hours;

[0017] Paraffin infiltration and embedding: The sample was transitioned in n-butanol and paraffin at 65-68℃ for 12 hours, then infiltrated three times in paraffin at 65-78℃ for 4-4.5 hours each time, and then embedded.

[0018] Sectioning: Sections were prepared using a microtome, with a section thickness of 12 μm;

[0019] Dewaxing and staining: The sections were dewaxed twice in xylene, 10 min each time, then transitioned in xylene and anhydrous ethanol for 2 min, treated with anhydrous ethanol for 2 min, stained with 1% Fast Green for 10 min, and then rinsed with 95% ethanol for 3 to 5 times, 2 to 8 min each time.

[0020] Dehydration, clearing and mounting: The sections were dehydrated twice with anhydrous ethanol for 10-18 minutes each time, then transitioned between anhydrous ethanol and xylene for 2 minutes, cleared three times with xylene for 30 minutes each time, and mounted with neutral resin.

[0021] Through the above technical solutions, continuous fixation, gradient dehydration, ductal denaturation staining, paraffin infiltration, ultrathin sectioning, and fast green staining are used to quickly lock cell morphology, highlight the contrast between ducts and X-rays, and give the sections sufficient mechanical strength and optical clarity, providing high-quality samples with complete structure, vivid colors, and pure background for subsequent panoramic microscopic stitching.

[0022] Preferably, in the image acquisition step, a microscope is used to move along the bark of the rubber tree in a "Z" shaped equidistant motion, taking a total of 16 images, each with a size of 4088×3072 pixels.

[0023] Using the above technical solution, this step involves scanning and slicing the bark in a "Z" shaped trajectory to ensure that no part of the bark is missed. High-resolution images are also acquired through appropriate overlap, laying a complete and continuous raw data foundation for subsequent seamless stitching and full-scale statistics of the latex ducts.

[0024] Preferably, the image stitching operation includes the following steps:

[0025] Step 1: Open the image processing software - File - Automate - Photomerge;

[0026] Step 2: Select "Automatic" for the layout mode;

[0027] Step 3: Select key options: Image blending, Vignette removal, Geometric distortion correction, Content-aware fill of transparent areas;

[0028] Step 4: Wait for the system to automatically generate layer groups;

[0029] Step 5: After merging the layers, execute: Image - Adjustments - Match Color;

[0030] Step 6: Export the panoramic image.

[0031] Through the above technical solution, the stitching process uses software automation to precisely align, fuse and correct color differences of local microscopic images according to the characteristics of latex ducts and rays, and finally outputs a seamless, color-consistent panoramic image, realizing a one-click digital presentation of the entire appearance of rubber tree bark.

[0032] Preferably, in the image acquisition step, the specific range of the overlapping area between adjacent images is 25% to 30% to ensure the accuracy of image stitching and the continuity of the panoramic image.

[0033] By setting an appropriate overlapping area, the stitching algorithm is provided with sufficient and uniform feature matching bands, ensuring seamless connection between adjacent images and avoiding misalignment or breakage, thereby maintaining the integrity and coherence of the panoramic image.

[0034] Preferably, the method further includes a step of evaluating the quality of the generated panoramic image, including but not limited to the image sharpness, stitching accuracy, color consistency, and overall visual effect of the panoramic image.

[0035] Through the above technical solutions and systematic quality assessment, blurry, misaligned, or color-different panoramic images can be promptly removed, ensuring that the output results always maintain high definition, seamless stitching, and color consistency, providing a reliable basis for subsequent milk duct counting and variety identification.

[0036] Preferably, the method further includes a step of annotating the panoramic image to facilitate the identification and analysis of specific structures in the rubber tree bark.

[0037] By employing the aforementioned technical solutions, and overlaying editable annotations onto panoramic images, key structures such as ducts and rays can be intuitively located, significantly improving recognition efficiency and the accuracy of subsequent quantitative analysis.

[0038] Preferably, the method further includes a step of digitally archiving the panoramic image to facilitate long-term preservation and remote access, as well as reuse in different research projects.

[0039] Through the above technical solutions, digital archiving enables panoramic images to be preserved long-term without loss, supports online sharing and cross-project access, avoids duplicate copies, and improves research efficiency.

[0040] This invention provides a method for generating panoramic images of rubber tree bark slices. It has the following beneficial effects:

[0041] 1. Based on a common optical microscope, this invention uses a simplified technical approach of "Z-shaped full-coverage shooting + general image stitching software" to eliminate dependence on expensive automated microscopy platforms, thereby significantly reducing equipment investment and maintenance costs. Without modifying the hardware, it can generate high-resolution, seamlessly stitched panoramic images of the bark, significantly accelerating the shooting and processing process, and maintaining the integrity and continuity of the latex duct rows and ray structures. This provides a low-cost, high-efficiency, and high-fidelity digital approach for intelligent breeding of rubber trees.

[0042] 2. This invention introduces "bark latex duct arrays and ray features" as splicing anchor points into the image matching algorithm: by setting a 25% to 30% overlap area, turning off automatic exposure, and enabling Photomerge key options such as "geometric distortion correction + content-aware fill", regular latex duct arrays and variable rays in different slice images can achieve sub-pixel-level overlap. Thus, without modifying the hardware, the local field of view of ordinary optical microscopes can be seamlessly expanded into a panoramic field of view. This solves the problem of obtaining ultra-large field of view and ensures the biological accuracy of latex duct counting, breaking through the data bottleneck in rubber tree variety identification. Attached Figure Description

[0043] Figure 1 This is the overall flowchart of the present invention;

[0044] Figure 2 This is a comparison image showing the effect of traditional image stitching and panoramic image stitching of rubber tree bark slices in this invention.

[0045] Figure 3 This is the image acquisition path planning diagram of the present invention;

[0046] Figure 4 This is a schematic diagram of the Photoshop user interface of the present invention. Detailed Implementation

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Please see the appendix Figure 1 - Appendix Figure 4 This invention provides a method for generating panoramic images of rubber tree bark slices, comprising the following steps:

[0049] Take a suitable bark sample from the diameter at breast height of the rubber tree;

[0050] Samples undergo pretreatment including fixation, dehydration, latex denaturation and staining, dehydration and clearing, paraffin infiltration and embedding, sectioning, dewaxing, staining, sectioning and dehydration, clearing and mounting;

[0051] Specifically, the pretreatment process begins by drilling circular bark samples with a diameter of approximately 15–18 mm from the diameter at breast height (DBH) of rubber trees. These samples are immediately placed in approximately 80% ethanol and fixed by aeration for at least 24 hours to rapidly terminate cell metabolism and maintain morphology. Subsequently, the samples are dehydrated stepwise in a gradient of ethanol (95% → anhydrous) to remove intracellular water and prevent ice crystal damage. Next, after pretreatment in glacial acetic acid for 4–6 hours, the samples are transferred to I-Br solution at 60–69°C for 36 hours to denature the latex in the latex ducts and simultaneously complete overall staining. After another gradient dehydration, the samples are cleared with n-butanol to allow tissue folding. To ensure uniform radiation, the sample was then immersed sequentially in a mixture of n-butanol and paraffin, followed by three paraffin embeddings at 65–78°C for approximately 4 hours each time. This paraffin embedding process supported the tissue and facilitated sectioning. The sample was then cut into continuous paraffin strips approximately 12 µm thick using a microtome. After dewaxing twice with xylene, the strips were rehydrated with ethanol, stained with 1% Fast Green for 10 minutes, dehydrated in a gradient of ethanol, cleared three times with xylene, and finally mounted with neutral resin. This yielded a section of rubber tree bark with a complete tissue structure and clearly distinguishable latex ducts and rays, meeting the requirements for subsequent high-precision panoramic imaging and quantitative analysis.

[0052] Images were acquired using a standard optical microscope with a 4× objective lens, taking equidistant shots along a zigzag path along the rubber tree bark. The overlap between adjacent images was ≥25%, and each image resolution was ≥4088×3072 pixels. Automatic exposure was disabled. During the image acquisition step, the microscope was moved equidistantly along the rubber tree bark in a zigzag pattern, taking a total of 16 images, each 4088×3072 pixels. The specific overlap range between adjacent images during the image acquisition step was 25%–30% to ensure accurate image stitching and the continuity of the panoramic image.

[0053] Specifically, during the image acquisition stage, a conventional optical microscope was used with a fixed 4× objective lens to obtain a sufficiently large single field of view. The stage moved in a pre-planned "Z" shaped trajectory with equal step lengths, allowing the lens to sequentially cover the entire slice area. One microscopic image was captured with each movement, resulting in a total of 16 original images. Automatic exposure was turned off during shooting to avoid stitching marks caused by brightness fluctuations, while maintaining constant light source, focal length, and white balance. A 25%–30% overlap area was retained between adjacent images, providing sufficient feature matching information for the subsequent Photoshop Photomerge algorithm and preventing seam misalignment caused by mechanical errors or tissue deformation. This ensured that the panoramic image was geometrically, brightly, and colorily consistent, and that the mammary duct arrays and ray structures were intact and unbroken.

[0054] Image stitching is performed using image processing software, including loading image groups, executing stitching commands, selecting automatic layout mode, and outputting the panoramic image after uniformly adjusting the brightness and contrast of the panoramic image.

[0055] Specifically, in the image stitching stage, the first step is to stitch together 16 images in a "Z" shape sequence. Figure 1 The images were imported into image processing software in one go. The Photomerge stitching command was executed, and the "Auto" layout mode was selected. The software automatically found corresponding point pairs in the overlapping area, using the texture of the duct columns and rays as anchor points. Then, options such as "Blend Image," "Vignette Removal," "Geometric Distortion Correction," and "Content-Aware Fill" were enabled to jointly correct vignetting, misalignment, and blank areas caused by lens distortion and exposure differences. After subpixel-level alignment, a multi-layer panoramic image was generated. Finally, by "Match Color" and brightness-contrast uniform adjustment, the color difference and brightness gradient between images were eliminated, the layers were merged, and a high-resolution seamless panoramic image was exported to ensure the continuity and integrity of the duct and ray structures, meeting the needs of subsequent quantitative analysis.

[0056] Image stitching includes the following steps:

[0057] Step 1: Open the image processing software - File - Automate - Photomerge;

[0058] Step 2: Select "Automatic" for the layout mode;

[0059] Step 3: Select key options: Image blending, Vignette removal, Geometric distortion correction, Content-aware fill of transparent areas;

[0060] Step 4: Wait for the system to automatically generate layer groups;

[0061] Step 5: After merging the layers, execute: Image - Adjustments - Match Color;

[0062] Step 6: Export the panoramic image.

[0063] The pretreatment steps for rubber tree bark slices further include:

[0064] Sampling: Take circular pieces of bark with a diameter of 15-18 mm from rubber trees that are 13 years or older;

[0065] Fixation: Use 80% ethanol by volume for vacuum fixation for 24–29 hours or more;

[0066] Dehydration: The sample was first dehydrated in 95%±2% ethanol for 2-3 hours, and then dehydrated in anhydrous ethanol 3-5 times, each time for 1.5-1.8 hours;

[0067] Latex denaturation and staining: The sample was first soaked in glacial acetic acid for 4-6 hours, then treated in I-Br treatment solution at 60-69℃ for 36 hours, and then washed with glacial acetic acid 3 times, each time for 1.5-1.8 hours;

[0068] Dehydration and clearing: The sample was dehydrated in anhydrous ethanol 3 to 5 times, each time for 1.5 to 1.8 hours, then transitioned in anhydrous ethanol and n-butanol for 1 to 1.5 hours, and cleared in n-butanol three times, each time for 2 to 2.5 hours;

[0069] Paraffin infiltration and embedding: The sample was transitioned in n-butanol and paraffin at 65-68℃ for 12 hours, then infiltrated three times in paraffin at 65-78℃ for 4-4.5 hours each time, and then embedded.

[0070] Sectioning: Sections were prepared using a microtome, with a section thickness of 12 μm;

[0071] Specifically, the procedure begins with ethanol aspiration fixation to rapidly terminate cell metabolism and maintain the ductal morphology; followed by gradient ethanol dehydration to remove water, and treatment with glacial acetic acid and I-Br to denature the latex and simultaneously stain it, highlighting the ducts and rays; then, n-butanol is used for clearing replacement, gradually infiltrating paraffin to complete embedding and ensure uniform tissue hardness; after ultrathin sectioning, xylene dewaxing, fast green staining, and ethanol washing are performed, and finally, neutral resin is used for mounting, resulting in high-quality sections with clear ducts and intact structures, laying the sample foundation for subsequent panoramic imaging.

[0072] Dewaxing and staining: The sections were dewaxed twice in xylene, 10 min each time, then transitioned in xylene and anhydrous ethanol for 2 min, treated with anhydrous ethanol for 2 min, stained with 1% Fast Green for 10 min, and then rinsed with 95% ethanol for 3 to 5 times, 2 to 8 min each time.

[0073] Specifically, during dewaxing, the sections are placed in xylene to fully dissolve the paraffin, followed by a transition through xylene-anhydrous ethanol, and then into anhydrous ethanol to replace the residual solvent. Next, the sections are stained with Fast Green to make the contrast between the ducts and X-rays obvious. Finally, they are repeatedly rinsed with gradient ethanol to remove excess stain and stabilize the staining effect, providing a clear and uniform tissue substrate for subsequent microscopic observation and image stitching.

[0074] Dehydration, clearing and mounting: The sections were dehydrated twice with anhydrous ethanol for 10-18 minutes each time, then transitioned between anhydrous ethanol and xylene for 2 minutes, cleared three times with xylene for 30 minutes each time, and mounted with neutral resin.

[0075] Specifically, the water in the sections was first replaced with anhydrous ethanol in a gradient, and after further dehydration, the sections were transferred to anhydrous ethanol-xylene transition solution to allow the tissue to gradually adapt to the organic solvent environment. Subsequently, the sections were thoroughly cleared with xylene multiple times to eliminate tissue refractive differences. Finally, the sections were uniformly mounted with neutral resin, which not only stabilized the sections but also improved optical clarity, ensuring that the latex ducts and rays of the rubber tree bark presented a continuous and high-fidelity microstructure in the panoramic image.

[0076] The method also includes a step of quality assessment of the generated panoramic image, including but not limited to image sharpness, stitching accuracy, color consistency, and overall visual effect. The method further includes a step of annotating the panoramic image to facilitate the identification and analysis of specific structures in the rubber tree bark. Finally, the method includes a step of digitally archiving the panoramic image to facilitate long-term preservation and remote access, as well as reuse in different research projects.

[0077] Specifically, after the panoramic image is generated, its clarity, seam accuracy, color uniformity, and overall visual effect are first evaluated by both visual inspection and automatic algorithms to remove distorted areas. Then, an editable annotation layer is superimposed on the image to mark key structures such as mammary duct columns and rays, which facilitates subsequent counting and morphological analysis. Finally, the high-resolution image that has passed quality inspection and annotation is archived to the cloud or local database in a standardized metadata format to achieve long-term lossless preservation, remote sharing, and cross-project reuse.

[0078] In summary, this invention, based on a common optical microscope, employs a simplified technical approach of "Z-shaped full-coverage imaging + universal image stitching software," eliminating reliance on expensive automated microscopy platforms and significantly reducing equipment investment and maintenance costs. It can generate high-resolution, seamlessly stitched panoramic images of tree bark without requiring hardware modifications, significantly accelerating the imaging and processing workflow, while maintaining the integrity and continuity of latex duct rows and ray structures. This provides a low-cost, high-efficiency, and high-fidelity digital approach for intelligent rubber tree breeding.

[0079] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for generating panoramic images of rubber tree bark slices, characterized in that, Includes the following steps: Take a suitable bark sample from the diameter at breast height of the rubber tree; Samples undergo pretreatment including fixation, dehydration, latex denaturation and staining, dehydration and clearing, paraffin infiltration and embedding, sectioning, dewaxing, staining, sectioning and dehydration, clearing and mounting; Images were acquired using a standard optical microscope with a 4× objective lens, and photographed at equal intervals along a zigzag path of the rubber tree bark. The overlap between adjacent images was ≥25%, and the resolution of a single image was ≥4088×3072 pixels. Automatic exposure was turned off. Image stitching is performed using image processing software, including loading image groups, executing stitching commands, selecting automatic layout mode, and outputting the panoramic image after uniformly adjusting the brightness and contrast of the panoramic image.

2. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, The pretreatment step of the rubber tree bark slices further includes: Sampling: Take circular pieces of bark with a diameter of 15-18 mm from rubber trees that are 13 years or older; Fixation: Use 80% ethanol by volume for vacuum fixation for 24–29 hours or more; Dehydration: The sample was first dehydrated in 95%±2% ethanol for 2-3 hours, and then dehydrated in anhydrous ethanol 3-5 times, each time for 1.5-1.8 hours; Latex denaturation and staining: The sample was first soaked in glacial acetic acid for 4-6 hours, then treated in I-Br treatment solution at 60-69℃ for 36 hours, and then washed with glacial acetic acid 3 times, each time for 1.5-1.8 hours; Dehydration and clearing: The sample was dehydrated in anhydrous ethanol 3 to 5 times, each time for 1.5 to 1.8 hours, then transitioned in anhydrous ethanol and n-butanol for 1 to 1.5 hours, and cleared in n-butanol three times, each time for 2 to 2.5 hours; Paraffin infiltration and embedding: The sample was transitioned in n-butanol and paraffin at 65-68℃ for 12 hours, then infiltrated three times in paraffin at 65-78℃ for 4-4.5 hours each time, and then embedded. Sectioning: Sections were prepared using a microtome, with a section thickness of 12 μm; Dewaxing and staining: The sections were dewaxed twice in xylene, 10 min each time, then transitioned in xylene and anhydrous ethanol for 2 min, treated with anhydrous ethanol for 2 min, stained with 1% Fast Green for 10 min, and then rinsed with 95% ethanol for 3 to 5 times, 2 to 8 min each time. Dehydration, clearing and mounting: The sections were dehydrated twice with anhydrous ethanol for 10-18 minutes each time, then transitioned between anhydrous ethanol and xylene for 2 minutes, cleared three times with xylene for 30 minutes each time, and mounted with neutral resin.

3. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, In the image acquisition step, a microscope was used to move along the bark of the rubber tree in a "Z" shape at equal intervals, and a total of 16 images were taken, with each image measuring 4088×3072 pixels.

4. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, The image stitching operation includes the following steps: Step 1: Open the image processing software - File - Automate - Photomerge; Step 2: Select "Automatic" for layout mode; Step 3: Select key options: Image blending, Vignette removal, Geometric distortion correction, Content-aware fill of transparent areas; Step 4: Wait for the system to automatically generate layer groups; Step 5: After merging the layers, execute: Image - Adjustments - Match Color; Step 6: Export the panoramic image.

5. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, In the image acquisition step, the specific range of the overlapping area between adjacent images is 25% to 30% to ensure the accuracy of image stitching and the continuity of the panoramic image.

6. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, The method also includes a step of quality assessment of the generated panoramic image, including but not limited to image sharpness, stitching accuracy, color consistency, and overall visual effect of the panoramic image.

7. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, The method also includes a step of annotating the panoramic image to facilitate the identification and analysis of specific structures in the rubber tree bark.

8. The method for generating a panoramic image of a rubber tree bark slice according to claim 1, characterized in that, The method also includes a step of digitally archiving the panoramic images to facilitate long-term preservation and remote access, as well as reuse in different research projects.

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