PHT hair follicle microneedle planting technical method and system

By using PHT hair follicle microneedle implantation technology, sensors and artificial intelligence are used to acquire data on hair follicles and the implantation area in real time, and implantation parameters are dynamically adjusted. This solves the problems of low hair follicle survival rate and large trauma, and achieves precise adaptive implantation, improving the survival rate of hair follicles and hair transplantation efficiency.

CN121015280APending Publication Date: 2025-11-28SHENYANG LIAOSHEN HUAMEI HOSPITAL CO LTD
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Patent Information

Application Number
CN202511130128.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-13
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

In current hair transplant techniques, doctors rely on subjective experience to implant hair follicles, resulting in low follicle survival rates, significant trauma, and uncontrollable effects. They also cannot effectively address the differences in tissue at the microscopic level of the scalp.

Method used

Using PHT hair follicle microneedle implantation technology, the physiological characteristic data of hair follicles and target implantation areas are acquired in real time through sensors. Combined with artificial intelligence and augmented reality technology, the implantation parameters are dynamically adjusted to achieve precise adaptive implantation.

Benefits of technology

It significantly improves the survival rate of hair follicles, reduces trauma, and ensures the accuracy and aesthetic consistency of hair transplant results. By combining intelligent and microscopic technologies, it achieves precise adaptive planting, thereby improving the survival rate of hair follicles and the efficiency of hair transplantation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of hair transplantation, and discloses a PHT hair follicle microneedle planting technical method and system.The PHT hair follicle microneedle planting technical method comprises the following steps that S1, hair follicles are extracted from a donor area, the extracted hair follicles are put into low-temperature normal saline to be soaked, and hair follicle residual fat and skin tissue are cut off through a hair transplantation blade; s2, in the process of transferring the hair follicles from the donor region to a target implantation region; s3, based on the data acquired in the step S2, adjusting implantation parameters according to the data; and S4, according to the adjusted implantation parameters, implanting the hair follicle into the target implantation area. The physiological data of the hair follicles and the tissue health degree data of the target implantation area are obtained in real time before implantation, dynamic self-adaptive adjustment of implantation parameters is achieved, the optimal implantation strategy is matched for each hair follicle, the individualized survival rate of the hair follicles in different scalp environments is achieved, and the survival rate of the hair follicles in different scalp environments is improved. And the trauma risk caused by blind planting is reduced.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of hair transplantation technology, in particular to a PHT hair follicle microneedle planting technology method and system. BACKGROUND

[0002] With the acceleration of modern life pace and the change of living environment, the problem of hair loss is becoming more and more common, which seriously affects people's appearance and psychological health. According to relevant data, the proportion of people with hair loss has reached about 20%, and there is a significant trend of youth and low age. In the field of cosmetic medicine, people's pursuit of beauty is no longer limited to the contour of clothing, food, shelter, face and body. Hair beauty has become the focus of attention, and the problem of hair loss needs to be effectively solved.

[0003] In the related art, doctors usually use unified specifications to make a large number of planting holes in the hair loss area according to macro planning. This process completely ignores the huge differences in the micro level of the scalp tissue. In the same hair loss area, there may be healthy tissue with good blood circulation, fibrosis or scar tissue with poor blood supply, and a network of microvessels hidden under the epidermis. Doctors cannot distinguish these differences in real time when making holes, like blind planting. When a valuable hair follicle is unfortunately planted in scar tissue with poor blood supply, its survival rate will be greatly reduced. This "random failure" caused by ignorance of the soil conditions of the planting site is a key obstacle to improving the overall survival rate. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a PHT hair follicle microneedle planting technology method and system, which solves the problem that the related art mainly relies on the subjective experience and hand-eye coordination of the operating doctor, manually draws the hairline and planting area on the patient's scalp with a marker pen before the operation, and relies on naked eye observation and "hand feeling" to control the planting angle, direction and depth of each hair follicle during the operation. This leads to the problem that it is difficult to avoid operator fatigue and human error during the several-hour hair transplantation process, which directly causes inconsistencies in the angle, direction and distribution density of the planted hair follicles.

[0005] To achieve the above purpose, the present application realizes the following technical scheme: a PHT hair follicle microneedle planting technology method and system.

[0006] In a first aspect, the present application provides a PHT hair follicle microneedle planting technology method, which adopts the following technical scheme:

[0007] The PHT hair follicle microneedle planting technology method, characterized in that it comprises the following steps:

[0008] S1, extracting hair follicles from a donor area and placing the extracted hair follicles in low-temperature physiological saline for soaking, and cutting off the residual fat and skin tissue of the hair follicles with a hair transplantation blade;

[0009] S2, obtaining physiological characteristic data related to the hair follicles and physiological characteristic data related to a target implantation area through a sensor during the transfer of the hair follicles from the donor area to the target implantation area;

[0010] S3, adjusting implantation parameters according to the data obtained in step S2;

[0011] S4, implanting the hair follicles into the target implantation area according to the adjusted implantation parameters.

[0012] By adopting the above technical solution, since the physiological characteristic data of each hair follicle itself and the tissue health data of the target implantation area are obtained in real time through a sensor before hair follicle implantation, and the implantation parameters are dynamically and individually adjusted based on these micro data that are accurately matched with single implantation operation, the blind planting relying on the subjective experience of doctors in traditional hair transplantation is changed into precise adaptive planting based on objective data, therefore, it is ensured that each implantation is an optimal decision, and each hair follicle is matched with the most suitable survival conditions, thereby systematically solving the problems of low hair follicle survival rate, large trauma and uncontrollable effect in the prior art, and finally significantly improving the overall success rate of hair transplantation.

[0013] Preferably, the step S1 further comprises the following steps before the step S1:

[0014] obtaining position and angle information of the target implantation area;

[0015] The way of obtaining the position and angle information of the target implantation area comprises:

[0016] generating a hair transplantation aesthetic blueprint containing three-dimensional coordinates and implantation angles by three-dimensional modeling of the patient's head and using an artificial intelligence algorithm;

[0017] and projecting the hair transplantation aesthetic blueprint in the form of holographic image to the patient's scalp surface through an augmented reality system to guide the implantation operation of step S4.

[0018] Preferably, in the step S2, the process of obtaining the physiological characteristic data related to the hair follicles comprises:

[0019] When the hair follicles are transferred through a closed-loop microfluidic channel, the physiological characteristic data of the hair follicles are obtained through a biosensor array arranged in the channel, and the data include at least one of the number of hair roots contained in the hair follicle unit and the structural integrity of the hair follicle sphere.

[0020] Preferably, in the step S2, the process of acquiring physiological characteristic data related to the target implantation area comprises:

[0021] Before the step S4, the subcutaneous physiological characteristics of the target implantation area are detected by a bioimpedance sensor at the front end of the implantation tool to acquire information about the tissue health or fibrosis degree of the target implantation area.

[0022] Preferably, in the step S3, the process of adaptively adjusting at least one implantation parameter based on the data comprises:

[0023] The physiological characteristic data of the hair follicle and the physiological characteristic data of the target implantation area are fused for comprehensive judgment, and the implantation parameter is dynamically adjusted or the implantation operation of the hair follicle is stopped according to a preset rule;

[0024] The implantation parameter includes implantation depth and implantation force.

[0025] Preferably, the method further comprises the following steps:

[0026] The survival rate of the hair follicle after implantation is judged by recording the data acquired in the step S2 and the implantation parameter adjusted in the step S3 to form process result association data;

[0027] The process result association data is used to train an artificial intelligence algorithm for generating a hair transplantation aesthetic blueprint, and the iteration of the algorithm provides data support for the next use.

[0028] Preferably, in the step 1, the extraction of the hair follicle adopts an ultrasonic wave assisted ring cutting punch to reduce thermal damage and mechanical damage to the surrounding tissue of the hair follicle;

[0029] And the hair follicle is extracted from the donor area to the target implantation area for no more than 1 minute, including the time of the hair follicle to low-temperature physiological saline and the implantation time;

[0030] A 7, 8 or 9 number injection needle is used to pierce a hole in the original hair direction and depth of the target implantation area during implantation, and the hair follicle is implanted into the needle hole to complete the implantation.

[0031] By adopting the technical scheme, the macro layout of planting is accurately guided by adopting the combination of artificial intelligence planning and augmented reality navigation, the micro data of hair follicles and implantation areas are acquired in real time by applying biosensor technology and the implantation strategy is adaptively adjusted accordingly, the off-body damage of hair follicles is reduced to the minimum by technologies such as ultrasonic extraction and closed-loop microfluidic transport, and a data feedback closed loop is established to drive continuous optimization of the algorithm, so that the core problems of the prior art, such as dependence on subjective experience, low planting precision and uncontrollable survival rate of hair follicles, are systematically solved, the efficiency and safety of hair transplantation are greatly improved, the accuracy, naturalness and aesthetic consistency of the final hair transplantation effect are ensured, and the entire technical system has the ability of self-learning and iterative evolution, and finally a highly predictable personalized hair transplantation effect is realized.

[0032] In a second aspect, the present application provides a PHT hair follicle microneedle planting technology system, which adopts the following technical scheme:

[0033] The PHT hair follicle microneedle planting technology system is applied to the PHT hair follicle microneedle planting technology method according to any one of claims 1-7, and characterized in that it comprises:

[0034] A sensor is configured to acquire physiological characteristic data of the hair follicle and physiological characteristic data of the target implantation area during the process of transferring the hair follicle from a donor area to a target implantation area.

[0035] A processor is in communication connection with the sensor and configured to receive the data acquired by the sensor and adjust at least one implantation parameter based on the data.

[0036] An implantation module is connected with the processor and configured to implant the hair follicle into the target implantation area according to the adjusted implantation parameter.

[0037] By adopting the above technical scheme, since the key steps in the method are converted into specific hardware functional units that can work cooperatively, that is, by setting a sensor for real-time data acquisition, a processor for intelligent decision-making and an implantation module for accurate execution, an automatic closed-loop control system based on objective data is constructed, so that a reliable physical implementation platform is provided for the adaptive precise planting method proposed in the present application, the inherent uncontrollability and human error of traditional manual operation are fundamentally overcome, the implementability and stability of the technical scheme are ensured, and the overall effect and safety of hair transplantation are finally systematically improved.

[0038] Preferably, the sensor comprises at least one of the following:

[0039] A biosensor array is arranged in the closed-loop microfluidic channel for transferring the hair follicle and configured to acquire physiological characteristic data of the hair follicle.

[0040] The physiological characteristic data includes the number of hair roots contained in a hair follicle unit or the structural integrity of a hair follicle sphere;

[0041] A bioimpedance sensor is arranged at the front end of the implant module and is used to detect the subcutaneous physiological characteristics of the target implant area to obtain information about the tissue health or fibrosis degree of the target implant area.

[0042] Preferably, the system further comprises the following modules:

[0043] An intelligent planning module is used to process three-dimensional model data of the patient's head and generate a hair transplantation aesthetic blueprint of the position and angle information of the target implant area;

[0044] A navigation module is used to project the hair transplantation aesthetic blueprint in the form of a holographic image onto the patient's scalp surface to guide the operation of the implant module.

[0045] By adopting the above technical solutions, the system is configured with a dedicated intelligent planning module and a navigation module to realize the accurate generation and high-precision guidance of the hair transplantation aesthetic blueprint on a macro level, and through the specific hardware such as the bio-sensor array and the bio-impedance sensor, the system is endowed with the ability to realize real-time data sensing of the hair follicle and the implant area on a micro level. The high-level design planning and the bottom physical execution are tightly coupled through specific and cooperative modules, thereby fundamentally ensuring the intelligence, precision and reliability of the entire hair transplantation process, and finally achieving the expected and highly consistent effect.

[0046] The present application provides a PHT hair follicle microneedle implantation technology method and system. It has the following beneficial effects:

[0047] 1. The present application realizes the dynamic self-adaptive adjustment of the implantation parameters by real-time acquisition of the physiological data of the hair follicle itself and the tissue health data of the target implant area before implantation, matches the best implantation strategy for each hair follicle, and achieves the individual survival rate of the hair follicle in different scalp environments, thereby reducing the trauma risk caused by blind planting.

[0048] 2. The present application generates an aesthetic blueprint through an artificial intelligence algorithm and uses an augmented reality system for holographic projection guidance, realizes the accurate control of the implantation position, angle and direction of each hair follicle, and achieves the overall aesthetic effect and naturalness of hair transplantation.

[0049] 3. The present application realizes the effective control of the mechanical damage and ex vivo stress of the hair follicle during the extraction and transfer process through the ultrasonic wave assisted extraction and closed loop microfluidic channel transfer technology, greatly shortens the processing time of the hair follicle while ensuring the activity of the hair follicle, and improves the overall efficiency of hair transplantation. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 The method flow chart of the PHT hair follicle micro-needle planting technology method of the present application;

[0051] Figure 2 The system architecture diagram of the PHT hair follicle micro-needle planting technology system of the present application. DETAILED DESCRIPTION

[0052] The technical solutions of the present application will be described clearly and completely below in combination with the drawings of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0053] Please refer to the drawings of the present application Figure 1 The PHT hair follicle micro-needle planting technology method provided by the embodiments of the present application comprises the following steps:

[0054] S1, extracting hair follicles from a donor area and placing the extracted hair follicles in low-temperature physiological saline for soaking, and cutting off the residual fat and skin tissue of the hair follicles with a hair transplantation blade;

[0055] In step 1, the hair follicles are extracted by using an ultrasonic-assisted ring cutting punch to reduce thermal damage and mechanical damage to the surrounding tissue of the hair follicles;

[0056] And the time from extraction of the hair follicles from the donor area to implantation into the target implantation area is not more than 1 minute, including the time of the hair follicles in the low-temperature physiological saline and the implantation time;

[0057] During the implantation, a 7, 8 or 9 gauge injection needle is used to make a hole in the target implantation area according to the original hair direction and depth, and the hair follicles are implanted into the hole to complete the implantation.

[0058] Before step S1, the following steps are further included:

[0059] Obtaining the position and angle information of the target implantation area;

[0060] The way of obtaining the position and angle information of the target implantation area comprises:

[0061] Through three-dimensional modeling of the patient's head and using an artificial intelligence algorithm to generate a hair transplantation aesthetic blueprint containing three-dimensional coordinates and implantation angles;

[0062] And projecting the hair transplantation aesthetic blueprint in the form of a holographic image onto the surface of the patient's scalp through an augmented reality system to guide the implantation operation of step S4

[0063] Specifically, first, the application designs a personalized hair transplantation aesthetic blueprint containing the precise position, angle and direction of each implantation point by three-dimensional digital modeling of the patient's head, and in the hair transplantation process, the blueprint is projected in the form of holographic image on the scalp for real-time navigation by using augmented reality (AR) technology, which changes the traditional hair transplantation relying on the subjective experience of doctors into a data-supported and quantifiable precise engineering, fundamentally solving the problem of inaccurate layout and unnatural effect caused by manual planning and visual estimation.

[0064] Secondly, in the core link of hair follicle processing, a minimally invasive extraction is performed by using an ultrasonic-assisted ring cutting punch to reduce thermal damage and mechanical stress to the hair follicle and surrounding tissue, and the hair follicle processing flow is completely innovated, the off-body time of the hair follicle from the donor area to the final implantation target area is compressed to within 1 minute, the ischemia time of the hair follicle is maximally shortened, the highest activity of the hair follicle cells is ensured from the physiological basis, and irreversible damage caused by long-term off-body preservation is avoided.

[0065] Finally, by combining macroscopic AI planning with microscopic minimally invasive and efficient operation, not only the final hair transplantation effect can faithfully reproduce the best aesthetic design, but also the strongest survival guarantee is provided for each transplanted hair follicle unit, improving the accuracy, naturalness and final overall survival rate of hair transplantation.

[0066] S2, in the process of transferring the hair follicle from the donor area to the target implantation area, physiological characteristic data related to the hair follicle and physiological characteristic data related to the target implantation area are acquired by a sensor;

[0067] In step S2, the process of acquiring the physiological characteristic data related to the hair follicle includes:

[0068] When the hair follicle is transferred through the closed-loop microfluidic channel, the physiological characteristic data of the hair follicle are acquired by the biosensor array arranged in the channel, and the data includes at least one of the number of hair roots contained in the hair follicle unit and the structural integrity of the hair follicle ball.

[0069] In step S2, the process of acquiring the physiological characteristic data related to the target implantation area includes:

[0070] Before step S4 is performed, the subcutaneous physiological characteristics of the target implantation area are detected by a bioimpedance sensor at the front end of the implantation tool to acquire the tissue health or fibrosis information of the target implantation area.

[0071] Specifically, the laboratory-level biosensor technology and microfluidic technology are integrated into the dynamic process of hair transplantation. The traditional static and qualitative evaluation of hair follicles relying on the human eye and experience is upgraded to an automated, dynamic, and quantitative precise analysis. The microfluidic channel provides a sterile, moist, and isolated stable transport environment for the hair follicle, avoiding physical damage caused by traditional tweezers and the risk of dehydration caused by long-term exposure to air. The biosensor array can provide objective, consistent, and detailed physiological data that artificial cannot achieve, providing the most basic and critical decision-making basis for subsequent "tailored" hair transplantation.

[0072] To complement the detailed analysis of the seeds, the blind planting problem of the prior art, which cannot know the subcutaneous condition of the target implantation area, is solved. A miniature bioimpedance sensor is integrated at the tip of the implantation module, such as a hair transplantation pen or a needle. At the moment before the final implantation action is performed, the sensor will come into contact with the scalp surface and perform a rapid subcutaneous tissue detection. By analyzing the detection signal, the system can immediately know whether the point is a healthy dermis with good blood circulation and suitable for hair follicle growth, or a fibrotic or scar tissue with poor blood supply and low survival rate.

[0073] By introducing bioimpedance analysis technology, the hair transplantation device is given the ability to see through the subcutaneous tissue. This technology uses the principle that different biological tissues such as healthy skin, fat, and scar tissue have different conductive properties. The sensor can clearly distinguish the soil quality under the implantation point by emitting weak and non-inductive electrical signals and analyzing their feedback characteristics. This fundamentally overcomes the limitation of traditional planting that can only blindly punch holes on the surface of the skin.

[0074] S3、based on the data obtained in step S2, adjusting the implantation parameters according to the data;

[0075] In step S3, the process of adaptively adjusting at least one implantation parameter based on the data includes:

[0076] The physiological characteristic data of the hair follicle and the physiological characteristic data of the target implantation area are fused for comprehensive judgment, and the implantation parameters are dynamically adjusted or the implantation operation of the hair follicle is stopped according to the preset rules;

[0077] The implantation parameters include implantation depth and implantation force.

[0078] Specifically, when the physiological data about a single hair follicle includes the number of hair roots, the structural integrity, and the subcutaneous tissue data of its target implantation point includes the health degree and the degree of fibrosis are synchronously collected, these information streams will be merged into the central processor of the system in real time. The processor does not look at these two sets of data in isolation, but performs a fusion judgment process, which will comprehensively evaluate the matching degree of the hair follicle and the planting area according to the historical rule base preset in the system. This rule base is based on a large amount of clinical data and hair transplantation medical knowledge and historical data of each planting, and it specifies the optimal action strategy under different data combinations.

[0079] Instead of implanting all hair follicles in the same way, a real-time, objective data-based risk assessment and strategy optimization is performed for each independent implantation operation, through the ability to teach according to individual circumstances and adapt to local conditions.

[0080] S4, implanting the hair follicle into the target implantation area according to the adjusted implantation parameters.

[0081] The method further comprises the following steps:

[0082] By recording the data obtained in step S2 and the implantation parameters adjusted in step S3, the survival rate of the hair follicle after implantation is determined, and process result association data is formed;

[0083] The process result association data is used to train the artificial intelligence algorithm for generating the hair transplantation aesthetic blueprint, and the iteration of the algorithm provides data support for the next use.

[0084] Specifically, the system creates a digital file for each implanted hair follicle. The physiological feature data of the hair follicle obtained in step S2 includes the number of hair roots, the structural integrity, the health degree of the subcutaneous tissue at the target implantation point, and the final implantation parameters dynamically adjusted by the system in step S3, including depth, force, and the precise three-dimensional coordinates of the implantation point on the AI aesthetic blueprint;

[0085] After hair transplantation, through tracking observation of the patient, the final survival status of the hair follicle, whether it is successful survival or shedding, will be taken as result data, which is bound with the previously recorded process data, so as to form a complete process result association data,

[0086] Please refer to the attached Figure 2 , the PHT hair follicle microneedle implantation technology system, comprising:

[0087] The sensor is used to obtain physiological feature data related to the hair follicle and physiological feature data related to the target implantation area during the process of transferring the hair follicle from a donor area to a target implantation area;

[0088] a processor, in communication connection with the sensors, for receiving data acquired by the sensors and adjusting at least one implant parameter based on the data;

[0089] an implant module, in connection with the processor, for implanting the hair follicle into the target implant area according to the adjusted implant parameter.

[0090] The sensors include at least one of:

[0091] a biosensor array, disposed in a closed-loop microfluidic channel for transferring the hair follicle, for acquiring physiological characteristic data of the hair follicle;

[0092] The physiological characteristic data includes the number of hair roots contained in a hair follicle unit or the structural integrity of a hair follicle ball;

[0093] a bioimpedance sensor, disposed at the front end of the implant module, for detecting the subcutaneous physiological characteristics of the target implant area to acquire information on the tissue health or fibrosis degree of the target implant area.

[0094] Specifically, the core of the system lies in its sensor module, which is responsible for acquiring real-time key microscopic data that cannot be perceived in previous operations, including two or one of the following:

[0095] a biosensor array, directly integrated into a closed-loop microfluidic channel for safely transferring the hair follicle. The main function is to automatically and quickly detect the key physiological characteristics of the hair follicle when it flows through the channel, for example, to accurately identify the number of hair roots contained in a hair follicle unit or to evaluate the structural integrity of the hair follicle ball;

[0096] a bioimpedance sensor, the sensor is integrated at the front end of the implant module including the hair transplant pen. Its function is to detect and quantitatively analyze the bioimpedance characteristics of the subcutaneous tissue of the target implant point by contacting the scalp at the moment before the implant operation is performed, so as to obtain the tissue health or fibrosis degree information of the point;

[0097] The processor is in communication connection with the above-mentioned sensors for receiving real-time double data streams about the quality of the hair follicle and the condition of the implant point. Based on these data, the processor makes a quick decision according to a preset algorithm and dynamically adjusts one or more implant parameters including implant force and depth. Finally, the implant module receives the final instruction from the processor to implant the hair follicle into the target implant area with the adjusted parameters;

[0098] Through the cooperative work of the above-mentioned hardware, the system converts the traditional manual operation relying on human experience and uncertainty into a precise and repeatable automatic process driven by objective data.

[0099] It also includes the following modules:

[0100] An intelligent planning module for processing three-dimensional model data of the patient's head and generating a hair transplantation aesthetic blueprint of the location and angle information of the target implantation area;

[0101] A navigation module for projecting the hair transplantation aesthetic blueprint in the form of a holographic image onto the patient's scalp surface to guide the operation of the implantation module.

[0102] Specifically, the intelligent planning module: this module is responsible for processing three-dimensional model data of the patient's head. It uses artificial intelligence algorithms to integrate aesthetic and physiological indicators to automatically generate a hair transplantation aesthetic blueprint containing the precise three-dimensional location and implantation angle information of each target implantation area;

[0103] The navigation module: this module receives the hair transplantation aesthetic blueprint generated by the intelligent planning module and projects it in the form of a holographic image onto the patient's scalp surface through augmented reality (AR) and other technologies;

[0104] First, the intelligent planning module pre-establishes a globally optimal hair transplantation plan. The hair transplantation aesthetic blueprint provides real-time, high-precision visual guidance for the operator through the navigation module, ensuring that the implantation module can accurately reach each specified location and angle on the blueprint;

[0105] When the implantation module reaches the specified point, the aforementioned micro-sensing and decision-making system, including the bio-impedance sensor and processor, is activated to make final adaptive adjustments to the implantation parameters based on the real-time subcutaneous conditions at that point and the data of the hair follicles to be implanted.

[0106] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. The PHT hair follicle microneedle implantation technique, characterized in that, Includes the following steps: S1. Extract hair follicles from the donor area and soak the extracted hair follicles in low-temperature saline solution. Use a hair transplant blade to remove residual fat and skin tissue from the hair follicles. S2. During the process of transferring the hair follicle from the donor area to the target implantation area, physiological characteristic data related to the hair follicle and physiological characteristic data related to the target implantation area are acquired by sensors. S3. Based on the data obtained in step S2, adjust the implantation parameters accordingly; S4. According to the adjusted implantation parameters, the hair follicle is implanted into the target implantation area.

2. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, The following steps are included before step S1: Obtain the position and angle information of the target implantation area; The methods for obtaining the position and angle information of the target implantation area include: By creating a three-dimensional model of the patient's head and using artificial intelligence algorithms to generate a hair transplant aesthetic blueprint that includes three-dimensional coordinates and implantation angles; And the hair transplant aesthetic blueprint is projected onto the patient's scalp surface in the form of a holographic image using an augmented reality system to guide the implantation operation in step S4.

3. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, In step S2, the process of obtaining physiological characteristic data related to the hair follicle includes: When the hair follicle is transferred through a closed-loop microfluidic channel, the physiological characteristic data of the hair follicle is acquired by a biosensor array disposed in the channel. The data includes at least one of the following: the number of hair roots contained in the hair follicle unit and the structural integrity of the hair follicle bulb.

4. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, In step S2, the process of acquiring physiological characteristic data related to the target implantation area includes: Before performing step S4, the subcutaneous physiological characteristics of the target implantation area are detected by the bioimpedance sensor at the tip of the implantation tool to obtain information on the tissue health or degree of fibrosis in the target implantation area.

5. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, In step S3, the process of adaptively adjusting at least one implantation parameter based on the data includes: The physiological characteristic data of the hair follicle and the physiological characteristic data of the target implantation area are integrated for comprehensive judgment, and the implantation parameters are dynamically adjusted or the implantation operation of the hair follicle is stopped according to preset rules. The implantation parameters include implantation depth and implantation force.

6. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, The method further includes the following steps: By recording the data obtained in step S2 and the implantation parameters adjusted in step S3, the survival rate of the implanted hair follicle is determined, forming process result correlation data. The artificial intelligence algorithm used to generate hair transplant aesthetic blueprints is trained using the process result correlation data, and the algorithm's iteration provides data support for the next use.

7. The PHT hair follicle microneedle implantation technique according to claim 1, characterized in that, In step 1, the hair follicles are extracted using an ultrasonic-assisted circumferential cutting punch to reduce thermal and mechanical damage to the tissues surrounding the hair follicles. Furthermore, the time from hair follicle extraction from the donor area to implantation into the target implantation area shall not exceed 1 minute, including the time from hair follicle to low-temperature saline solution and the implantation time; During the implantation process, a 7, 8, or 9 gauge injection needle is used to make a hole in the desired area according to the direction and depth of the original hair growth. The hair follicle is then inserted into the hole to complete the implantation.

8. A PHT hair follicle microneedle implantation technology system, applied to the PHT hair follicle microneedle implantation technology method according to any one of claims 1-7, characterized in that, include: A sensor is used to acquire physiological characteristic data related to the hair follicle and physiological characteristic data related to the target implantation area during the process of transferring the hair follicle from a donor area to a target implantation area. The processor, which is connected to the sensor, is configured to receive the data acquired by the sensor and adjust at least one implantation parameter based on the data. An implantation module, connected to the processor, is used to implant the hair follicle into the target implantation area according to the adjusted implantation parameters.

9. The PHT hair follicle microneedle implantation technology system according to claim 8, characterized in that, The sensor includes at least one of the following: A biosensor array is disposed within a closed-loop microfluidic channel for transferring hair follicles, and is used to acquire physiological characteristic data of the hair follicles. The physiological characteristic data includes the number of hair roots contained in a hair follicle unit or the structural integrity of the hair follicle bulb; A bioimpedance sensor, located at the front end of the implantation module, is used to detect the subcutaneous physiological characteristics of the target implantation area in order to obtain information on the tissue health or degree of fibrosis in the target implantation area.

10. The PHT hair follicle microneedle implantation technology system according to claim 8, characterized in that, The document also includes the following modules: The intelligent planning module is used to process the three-dimensional model data of the patient's head and generate a hair transplant aesthetic blueprint with information on the position and angle of the target implantation area; The navigation module is used to project the hair transplant aesthetic blueprint onto the patient's scalp surface in the form of a holographic image to guide the operation of the implantation module.