Terahertz near-field system papillary thyroid cancer cell optical positioning method and system
By employing a two-stage optical screening strategy—using a microscope to perform large-scale partitioning at low magnification and confirming optical features at high magnification—the problem of locating cancer cells on unstained thyroid tissue sections using terahertz near-field systems was solved, enabling rapid and accurate cancer cell localization and imaging.
Patent Information
- Application Number
- CN202511671377.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-14
- Publication Date
- 2026-01-23
AI Technical Summary
In existing technologies, terahertz near-field systems cannot quickly locate suspected cancerous areas at the hundred-micrometer scale on unstained thyroid slices, resulting in time-consuming and labor-intensive imaging, and difficulty in distinguishing between normal cells and cancer cells.
A two-stage optical screening strategy was adopted, first low magnification and then high magnification. At low magnification, a large-scale imaging partition was performed using a microscope to identify suspected cancer cell areas. At high magnification, optical features were confirmed, optical positioning points were marked, and then scanning imaging was performed in a terahertz near-field system.
It significantly shortens the scanning time of the terahertz system, solves the problem of difficult positioning on large-sized biological slices, and improves the efficiency and accuracy of the operation.
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Figure CN121384872A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of terahertz near-field imaging, in particular to a method and system for optical positioning of papillary thyroid carcinoma cells by a terahertz near-field system. BACKGROUND
[0002] The terahertz near-field imaging system is a high-precision imaging instrument, which can simultaneously perform nanoscale resolution imaging on the surface and internal structure of a sample. The imaging precision is generally nanoscale, tens of nanometers or even a few nanometers. Due to the high imaging precision and the imaging range of tens of microns, the positioning of the test sample is relatively complex, and a large range selection is usually used for near-field system imaging, and a small range near-field system imaging is performed in the imaging result image. The large range selection refers to a range of 20 microns larger than the normal scanning range, but generally less than 100 microns. When selecting the sample, the selection is often performed on a millimeter-level or even a centimeter-level sample, which is still orders of magnitude different from the 100-micron range of the terahertz near-field imaging system, and thus a microscope needs to be used for auxiliary selection.
[0003] When the terahertz near-field system identifies papillary thyroid cells, the sample to be identified is a biological section of a cancerous tissue, which is generally an irregular sheet structure with a length of 10-20 centimeters. Due to the characteristics of the terahertz near-field system, the section to be identified does not need to be dyed and can be directly imaged for identification, which directly leads to the fact that, under microscopic observation, normal cells, cancer cells, connective tissues, and interstitial tissues on the section can only be observed in terms of morphology, and it is difficult to directly observe normal cells and cancer cells as in the case of dyed pathological sections. This leads to the fact that the positioning of cancer cells on the section under the microscope becomes difficult, and normal cells, connective tissues, interstitial tissues, and cancerous cells are easily confused, and it is only after near-field system imaging that it is found whether the cancer cells to be identified are cancer cells. This is time-consuming and labor-intensive. The slow optical positioning of cancer cells has become a problem that limits the rapid imaging of the terahertz near-field system, which is not conducive to the use and promotion of the system. SUMMARY
[0004] The present application provides a method and system for optical positioning of papillary thyroid carcinoma cells by a terahertz near-field system, which can solve the problem that the terahertz near-field system cannot quickly position a suspected cancer cell region to a 100-micron level on an undyed thyroid section in the prior art.
[0005] To solve the above problems, the present application provides a method for optical positioning of papillary thyroid carcinoma cells by a terahertz near-field system, which comprises the following steps: Step one, imaging and observing a thyroid tissue section under a microscope at a first magnification, and performing low-magnification imaging partitioning on the region where the imaging and observation is located according to the cell morphological characteristics to form a partitioned image; Step two, in the partitioned image, select the area of suspected papillary carcinoma cells, observe and compare under a second magnification, and compare the observed morphology with the known optical features of papillary thyroid carcinoma cells, wherein the second magnification is greater than the first magnification; Step three, select an area near the area with suspected features as an optical positioning point and mark it; Step four, place the marked slice in a terahertz near-field system, position according to the optical positioning point, and perform scanning imaging using the terahertz near-field system.
[0006] The present application provides an optical positioning method for papillary thyroid carcinoma cells in a terahertz near-field system, which has the following advantages over the prior art, but is not limited to: By using a two-stage optical screening strategy of low magnification followed by high magnification, the scanning range of the terahertz system is quickly reduced from the entire slice to a specific suspected area, solving the fundamental bottleneck problem of long time consumption for full sample scanning caused by the small imaging range of the terahertz near-field system.
[0007] This method solves the problem of coordinate matching between different instrument platforms by selecting a stable blank area as an optical positioning point, reducing the dependence on the real-time positioning skills of the operator.
[0008] Preferably, the partitioning according to cell morphological features in step one includes distinguishing according to the typical morphology of large-area regions. The typical morphology includes: gravel-like interstitium, striped connective tissue, ring structure corresponding to normal cells, and large ring structure corresponding to suspected papillary carcinoma cells.
[0009] Preferably, the first magnification imaging observation in step one is specifically: The imaging observation is performed by continuously moving the microscope stage or objective lens to cover the scanning path of the entire slice, starting from one edge of the thyroid tissue slice and moving the slice or objective lens in a row-by-row continuous scanning manner until the entire slice is imaged. The partitioning is based on the large-scale tissue morphological differences observed under the first magnification, including gravel-like regions, striped regions, and ring structure regions.
[0010] Preferably, in step two, the optical features of papillary thyroid carcinoma cells include: double-layer ring structure, thickening of the ring line of the ring structure, and irregular ring.
[0011] Preferably, in step three, the specific process of selecting an optical positioning point includes: In the vicinity of the area with the double-layer annular structure, thickened annular line or irregular features, a blank area is found at the second magnification, which has a stable positional relationship with the suspected feature area; In the blank area or its edge, a predetermined size area with relatively flat height is determined and selected by fine-tuning the microscope focus and observing the change in imaging clarity; Under the condition of maintaining the relative position of the sample stage and the slice unchanged, the microscope is switched to the first magnification, and the positioning point is confirmed and marked in the low-power field based on the relative position of the selected flat area and the surrounding blank area.
[0012] Preferably, in step three, the method of determining the relatively flat height includes adjusting the microscope focus, observing the change in imaging clarity, or determining the flatness of the imaging area by color contrast.
[0013] Preferably, in step three, the selected predetermined size area is in the range of 50 microns to 200 microns.
[0014] Preferably, the first magnification is used for rapid scanning and topographic differentiation of centimeter-level slices, and the first magnification range is 20-60 times.
[0015] Preferably, the second magnification is used for resolving the microstructure of cells, and the second magnification range is 200-500 times.
[0016] Preferably, the present application also provides a system, which comprises: A microscope for imaging observation of thyroid tissue slices, which is configured to perform imaging observation at a first magnification and observation contrast at a second magnification; A terahertz near-field imaging host with a sample stage inside, which is used to carry the thyroid tissue slices and perform terahertz wave scanning imaging. BRIEF DESCRIPTION OF DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0018] Figure 1 The overall flowchart of the optical positioning method of the papillary thyroid carcinoma cell of the terahertz near-field system of an embodiment of the present application; Figure 2 The specific process flowchart of selecting the optical positioning point of an embodiment of the present application; Figure 3 This is a schematic diagram of a thyroid slice according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the thyroid section scanning process under a first magnification optical microscope according to an embodiment of the present invention; Figure 5 This is a schematic diagram showing the position of the second magnification in the slice under a first magnification optical microscope according to an embodiment of the present invention; Figure 6 for Figure 5 A magnified schematic diagram of the three sections in the middle. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings showing multiple embodiments according to this application. It should be understood that the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments described in this application without creative effort will fall within the scope of protection of this application.
[0020] It should be emphasized that when the term "comprising / including" is used in this specification, it is used to explicitly indicate the presence of the stated feature, integer, step, or component, but does not exclude the presence or addition of one or more other features, integers, steps, parts, or groups of features, integers, steps, or parts.
[0021] like Figures 1 to 4 As shown in the figure, an optical localization method for papillary thyroid cancer cells using a terahertz near-field system provided by an embodiment of the present invention includes the following steps: Step 1: Observe the thyroid tissue section under a microscope at the first magnification, and divide the area under observation into low-magnification imaging zones based on cell morphology characteristics to form a zoned image. Step 2: In the partitioned image, select the region suspected to be a papillary thyroid carcinoma, observe and compare it at the second magnification, and compare the observed morphology with the known optical characteristics of papillary thyroid carcinoma. The second magnification is greater than the first magnification. Step 3: Select an area near the region with suspected features as an optical positioning point and mark it; Step 4: Place the marked slice in the terahertz near-field system, locate it according to the optical positioning point, and use the terahertz near-field system for scanning imaging.
[0022] The specific operations in the above steps are as follows: First, take a piece of undyed, about 1.5 cm long, suspected papillary thyroid carcinoma tissue section, placed on the stage of the external optical microscope.
[0023] Secondly, using a low-power objective lens, at the first magnification, from the upper left corner of the section, move the stage in a serpentine trajectory, image the entire section, and in real time, splice into a complete low-power panoramic image in the computer software.
[0024] In the panoramic image, the operator identifies several suspected areas of different structures according to the cell morphological characteristics, and circles them with software to form a partition image, and preliminarily judges the area of suspected papillary carcinoma cells. Then, switch the microscope to a high-power objective lens at the second magnification, move to the area of suspected papillary carcinoma cells for fine observation and comparison.
[0025] Among them, find a clear outline of the blank area next to the feature area, and select a seemingly flat point at the edge of the blank area as an optical positioning point marked in the software.
[0026] The section is removed from the optical microscope stage and transferred to the sample stage of the terahertz near-field system. The position coordinates of the previously marked optical positioning point relative to the blank area are input into the system control software.
[0027] The terahertz near-field system moves the sample stage to the coordinates and starts the terahertz scanning imaging of the surrounding area, completing the detection of the terahertz near-field system.
[0028] The present application greatly reduces the search range of the terahertz system through two-stage optical observation of low-power lens followed by high-power lens, and changes the global scanning to scanning of specific suspected areas, solving the core bottleneck problem of the terahertz near-field system in positioning on large-size biological sections due to small imaging range and long time consumption.
[0029] In the embodiments of the present application, the partitioning according to cell morphological characteristics in step one includes: distinguishing according to the typical appearance of a large area; the typical appearance includes: gravel-shaped corresponding to interstitial tissue, striped corresponding to connective tissue, ring structure corresponding to normal cells, and large ring structure corresponding to suspected papillary carcinoma cells.
[0030] In the above process, through the explicit correspondence of the morphology, the different tissue regions can be quickly and relatively accurately preliminarily divided. In the specific operation, the imaging observation is performed by continuously moving the objective table or the objective lens of the microscope to cover the scanning path of the entire slice, and the slice or the objective lens is moved in a row-by-row continuous scanning manner from one end edge of the thyroid tissue slice until the imaging of the entire slice is completed. The partition is based on the large-scale tissue morphology difference observed under the first magnification, and the morphology difference includes the gravel-like region, the striped region and the ring structure region, so that a relatively clear partition image can be formed to facilitate subsequent operation.
[0031] As Figure 3 As shown in the partition images of A, B, C, D, etc., in the low-power panoramic image, the operator observes that the A region is amorphous gravel-like, which can be preliminarily determined as interstitial; the B region presents irregular shape structure, which is preliminarily determined as connective tissue; the C region is composed of uniform single ring structure, which is preliminarily determined as normal cell region; and the D region is composed of irregular structure, which is preliminarily determined as suspected papillary carcinoma cell region, and the D region is listed as the focus of the next high-power observation.
[0032] In the embodiment of the present application, the first magnification imaging observation in the step one is specifically that the imaging observation is performed by continuously moving the objective table or the objective lens of the microscope to cover the scanning path of the entire slice, and the slice or the objective lens is moved in a row-by-row continuous scanning manner from one end edge of the thyroid tissue slice until the imaging of the entire slice is completed; and the partition is based on the large-scale tissue morphology difference observed under the first magnification, and the morphology difference includes the gravel-like region, the striped region and the ring structure region.
[0033] In the above scanning process, the operator first stably fixes the slice sample on the high-precision optical microscope equipped with an electric objective table. Then, the scanning area is set through the special control software to ensure that the entire range of the slice is covered. The objective lens of the microscope with the first magnifying power starts from the starting point of the upper left corner of the slice, as shown in the position 1 in Figure 4 The objective lens automatically moves at a constant speed along the X-axis direction until it reaches the current edge position. After completing the scanning of one row, the system controls the objective table to accurately move one field width in the Y-axis direction, and then the objective lens performs scanning again in the reverse direction of the X-axis. After the scanning is completed, the next X-axis direction scanning is performed by accurately moving one field width in the Y-axis direction, and this process is repeated to complete Figure 4The form route at the middle 2 gradually and systematically covers the whole area of the whole slice through the serpentine reciprocating moving path, ensures no omission, and finally, after the moving process is completed, the system automatically splices the collected multiple field images into a complete panoramic image efficiently and accurately by using the built-in image processing algorithm, realizes the standardization and automation imaging of the centimeter-level slice, and avoids the omission and position error caused by manual movement.
[0034] During the partitioning process, the operator partitions on the digital panoramic image.
[0035] The specific partitioning operation is as follows: The operator observes the panoramic image, identifies the gravel-like area presenting uniform gray and amorphous granular feeling, uses the selection tool in the software to outline its contour, and can mark or label it as interstitium in the software.
[0036] When identifying the striped area presenting fibrous and clear directionality, it is also outlined and marked as connective tissue.
[0037] When identifying the annular structure area composed of a large number of uniform and regular circular or circular-like structures arranged closely, it is outlined and marked as normal cell area.
[0038] Finally, focus on and outline those annular structure areas of different sizes, disordered arrangement, and part of the annular structure abnormally large, and mark them as suspected papillary thyroid carcinoma cell area as the priority target for next high-power observation.
[0039] In the embodiment of the application, in the step two, the optical features of the papillary thyroid carcinoma cells include: double-layer annular structure, thickening of the ring line of the annular structure, and irregular annular structure.
[0040] In the operation of step two, after completing the low-power imaging partitioning and locking the suspected papillary thyroid carcinoma cell area, the operator switches the microscope to the second magnification. At this time, the target with typical optical features of papillary thyroid carcinoma cells is carefully searched in the marked suspected area, such as Figures 5 to 6For example, if a cell is found to exhibit a double-layered ring structure with clear inner and outer ring lines, and the ring lines are significantly thicker than those of normal cells, or the shape of the ring is not regular but irregularly twisted or deformed, then this cell is highly suspected to be a papillary thyroid carcinoma cell. The operator will make detailed records of these suspected cells, including their specific location, morphological characteristics, and other information, for further analysis and confirmation. At the same time, to ensure the accuracy of the observation, the operator will also repeatedly observe and compare multiple suspected cells to exclude misjudgments caused by factors such as observation angle and imaging quality. Through such meticulous observation and comparison under high magnification, papillary thyroid carcinoma cells can be more accurately identified, providing a reliable basis for subsequent positioning and diagnosis.
[0041] In the step three, the specific process of selecting the optical positioning point includes: in the vicinity of the region with the double-layered ring structure, thickened ring lines, or irregular features, at the second magnification, finding a blank area that has a stable positional relationship with the suspected feature region; in the blank area or its edge, by fine-tuning the microscope focus and observing the change in imaging clarity, a highly flat pre-determined size area is selected; while maintaining the relative position of the stage and the slice unchanged, the microscope is switched to the first magnification, based on the relative position of the selected flat area and the surrounding blank area, the positioning point is confirmed and marked in the low-power field of view.
[0042] After selecting the optical positioning point, a series of verification and adjustment operations are needed to ensure the accuracy of the positioning and the smooth progress of the subsequent scanning. First, the operator will recheck the marked positioning point to confirm whether its positional relationship with the surrounding suspected feature region is stable, avoiding positioning deviation caused by slice movement or changes in observation angle.
[0043] Since the terahertz near-field imaging is very sensitive to the distance between the sample and the probe head. It is much easier and faster to focus on a highly flat blank area as the initial focus point than on a bumpy cell cluster. Using the measurement function of the microscope, the selected positioning point is recorded with accurate coordinates, including its X-axis, Y-axis position information in the slice, and possibly Z-axis height information.
[0044] At the same time, to further improve the accuracy of positioning, the operator will also select several reference points near the positioning point and record their coordinates. These reference points can help to correct the position of the positioning point in real time during the subsequent scanning process, ensuring the accuracy of the scanning.
[0045] After all the positioning and recording work is completed, the operator will carefully remove the marked slice from the microscope stage, avoiding any possible positional movement or damage. Subsequently, the slice is placed smoothly on the sample stage of the terahertz near-field system, ensuring that its position is consistent with the observed position under the microscope.
[0046] Finally, according to the previously recorded positioning point coordinate information, the operator will set the corresponding scanning parameters in the control software of the terahertz near-field system, including the scanning range, scanning step, scanning speed, etc., to ensure that the system can accurately locate the target area and perform high-quality scanning imaging. Through this series of meticulous operation steps, the optical positioning method provided by the embodiment of the application can effectively realize the precise positioning and imaging of papillary thyroid cancer cells in the terahertz near-field system.
[0047] In the embodiment of the present application, the method for judging the relative flatness in step three includes adjusting the microscope focus, observing the change in imaging clarity, or judging the flatness of the imaging area through color contrast.
[0048] In actual operation, adjusting the microscope focus is an intuitive means to judge the flatness of the imaging area. The operator slowly rotates the focus knob of the microscope, causing the objective lens to gradually approach or move away from the slice surface, and closely observes the change in clarity of the imaging picture during this process. If during the focus adjustment, the imaging picture can quickly reach the clearest state within a short focus adjustment stroke, and the clarity changes relatively smoothly near the focus point without sudden clarity or blur, it indicates that the area is relatively flat. This is because the distance between the surface points of a flat area and the objective lens is relatively consistent, and the focus adjustment can simultaneously reach the best imaging state.
[0049] Judging the flatness of the imaging area through color contrast is also an effective method. In microscope imaging, different flatness areas have different light reflection and refraction conditions, which leads to different imaging colors. Flat areas have consistent light reflection and refraction due to uniform surfaces, resulting in relatively uniform and single imaging colors. Areas with uneven surfaces have complex light reflection and refraction conditions, resulting in imaging colors with varying depths and alternating brightness. The operator can preliminarily judge the flatness of the area by observing the color distribution of the imaging area. For example, if the color distribution of an area is uniform without obvious color gradients or mottling, it can be preliminarily determined that the area is relatively flat; conversely, if the color distribution is chaotic with obvious color differences, it indicates that the area may have uneven conditions.
[0050] In practical applications, in order to more accurately determine the relatively flat area, the operator usually combines the two methods of adjusting the microscope focus and observing the color change of the imaging. First, the possible flat area is preliminarily screened out through color contrast, and then the imaging clarity change is observed by focusing to further confirm. Through this comprehensive judgment method, the optical positioning point can be selected more accurately, which lays a solid foundation for accurate positioning and scanning imaging in the terahertz near-field system, thereby improving the accuracy and reliability of the entire papillary thyroid cancer cell detection process.
[0051] In the embodiment of the present application, in step three, the selected predetermined size area is 50 microns to 200 microns.
[0052] In the above process, the selected predetermined size area is preferably 100 microns.
[0053] Specifically, the operator uses the digital scale function of the microscope to circle a square area with a side length of about 100 microns on the screen, ensuring that the selected positioning area is completely located in the flat blank area.
[0054] The range of 50-200 microns perfectly matches the typical scanning range of the terahertz near-field system, ensuring that the entire target area can be covered in one scan, while this size range can provide sufficient positioning tolerance space and ensure the efficiency and accuracy of terahertz scanning.
[0055] In the embodiment of the present application, the first magnification range is 20-60 times for fast scanning and morphology differentiation of centimeter-level slices.
[0056] In the embodiment of the present application, the first magnification is preferably set to 30 times, 40 times and 50 times. This range of magnification has achieved the best balance between scanning speed and morphology observation clarity, which can quickly complete large-scale imaging and provide sufficient information for effective partitioning.
[0057] In the embodiment of the present application, the second magnification range is 200-500 times for resolving the microstructure of cells.
[0058] In the embodiment of the present application, the second magnification range is preferably 200 times. This magnification range ensures sufficient ability to distinguish key diagnostic microstructures, providing the necessary image resolution for accurate judgment of suspected cells.
[0059] In the embodiments of the present application, a system is also provided, which comprises a microscope and a terahertz near-field imaging host computer, the microscope is used for imaging observation of a thyroid tissue section, and the microscope is configured to perform imaging observation at a first magnification and observation comparison at a second magnification; the terahertz near-field imaging host computer is internally provided with a sample stage, and the terahertz near-field imaging host computer is used for carrying the thyroid tissue section and performing terahertz wave scanning imaging.
[0060] The above disclosure is only several specific embodiments of the present application, but the embodiments of the present application are not limited thereto, and any changes that can be thought of by those skilled in the art shall fall within the protection scope of the present application.
Claims
1. A method of optical localization of papillary thyroid carcinoma cells by a terahertz near-field system, characterized by, The method comprises the following steps: Step 1: observing the thyroid tissue section under a microscope at a first magnification, and dividing the observed region into sub-regions according to the cell morphological characteristics to form a sub-region image; Step 2: selecting a region suspected of containing papillary thyroid cancer cells in the sub-region image, observing and comparing the region under a second magnification, and comparing the observed morphology with known optical characteristics of papillary thyroid cancer cells, wherein the second magnification is greater than the first magnification; Step 3: selecting a region near the region with suspected characteristics as an optical positioning point and marking the region; Step 4: placing the marked section in a terahertz near-field system, positioning according to the optical positioning point, and scanning and imaging using the terahertz near-field system.
2. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 1, the division according to cell morphological characteristics includes distinguishing typical morphologies in a large area. The typical morphologies include: gravel-like interstitial tissue, striped connective tissue, ring structure corresponding to normal cells, and large ring structure corresponding to suspected papillary thyroid cancer cells.
3. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 1, the first magnification imaging observation is as follows: The imaging observation is performed by continuously moving the microscope stage or objective lens to cover the entire scanning path of the section, starting from one edge of the thyroid tissue section and moving the section or objective lens in a row-by-row continuous scanning manner until the entire section is imaged. The division is based on the large-scale tissue morphology differences observed under the first magnification, including gravel-like regions, striped regions, and ring structure regions.
4. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 2, the optical characteristics of papillary thyroid cancer cells include: double-layer ring structure, thickened ring line of the ring structure, and irregular ring.
5. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 3, the specific process of selecting the optical positioning point includes: In the region with the double-layer ring structure, thickened ring line, or irregular feature, under the second magnification, find a blank area that has a stable positional relationship with the suspected feature region; In the blank area or its edge, by fine-tuning the microscope focus and observing the change in imaging clarity, determine and select a region of a predetermined size with a relatively flat height; Under the condition of maintaining the relative position of the stage and the section unchanged, switch the microscope to the first magnification, based on the relative position of the selected flat region and the surrounding blank region, confirm and mark the positioning point in the low magnification field.
6. The method of claim 5, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 3, the method for determining the relatively flat height includes adjusting the microscope focus, observing the change in imaging clarity, or judging the flatness of the imaging region by color contrast.
7. The method of claim 5, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. In step 3, the selected region of a predetermined size is in the range of 50 microns to 200 microns.
8. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. The first magnification is used for rapid scanning and morphology differentiation of centimeter-level sections, and the first magnification range is 20-60 times.
9. The method of claim 1, wherein the method is a method of optical localization of papillary thyroid cancer cells using a terahertz near-field system. The second magnification is used to distinguish the microstructure of cells, and the second magnification range is 200-500 times.
10. A system for performing the method of claim 1-9 for the optical localization of papillary thyroid cancer cells in a terahertz near-field system, characterized in that The system comprises: A microscope is configured to image and observe the thyroid tissue section at a first magnification and to observe a contrast at a second magnification. A terahertz near-field imaging host is internally provided with a sample stage, and is used to carry the thyroid tissue section and perform terahertz wave scanning imaging.