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CN109357975A - A method to measure the effective diffusion coefficient of biomolecules - Google Patents

A method to measure the effective diffusion coefficient of biomolecules Download PDF

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CN109357975A
CN109357975A CN201811289392.2A CN201811289392A CN109357975A CN 109357975 A CN109357975 A CN 109357975A CN 201811289392 A CN201811289392 A CN 201811289392A CN 109357975 A CN109357975 A CN 109357975A
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biomolecules
roi1
biomolecule
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CN109357975B (en
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倪世伟
张西
杨宇丰
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Fuzhou University
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    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N13/00Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N13/00Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects
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Abstract

The present invention proposes a kind of method for measuring biomolecule effective diffusion cofficient, includes the following steps;A1, planning need to measure the initial markers region ROI0 of the biomolecule of diffusion coefficient;Plan diffusion process collection of images region ROI1;A2, fluorescent marker or other optical markings are carried out to the biomolecule in the ROI0 of region;A3, the biomolecule in ROI0 is spread, and ensures that the diffusion zone of biomolecule is less than region ROI1, dynamic image collection is carried out to the biomolecule diffusion process in the ROI1 of region;Whether dynamic image collected by A4, verification is effective;A5, dimensionality reduction is carried out to image data, the plane coordinates data of biomolecule diffusion process is generated according to image data;A6, the plane coordinates data according to generation, the effective diffusion cofficient of biomolecule diffusion process is gone out with the derivation of equation;The present invention is few to the hypotheses of application, and application range is wider.

Description

A method of measurement biomolecule effective diffusion cofficient
Technical field
The present invention relates to experiment field of measuring technique, especially a kind of method for measuring biomolecule effective diffusion cofficient.
Background technique
Biosystem almost all carries out logistics management using Passive diffusion on all scales, and diffusion process is for lifes at different levels Object process is most important, such as metabolism logistics, and enterprise schema forms and grows in growth course, lymph in immunoreaction process The recruitment of cell and the vegetative coverage mode of ecosphere etc..Biomolecule usually moves in complicated vivo environment, and It is not free diffusing, is influenced by multiple dimensioned factor, such as tortuosity, degradation, instantaneous combination and other dynamic process, because This measure biomolecule in vivo environmental dissemination rate important parameter be effective diffusion cofficient (effective Diffusioncoefficient), it is different from free diffusing coefficient (freediffusioncoefficient).
However, the effective diffusion cofficient for the biomolecule that precise measurement is spread in complicated biotic environment in vivo is very It is challenging.Currently, the fluorescence after photobleaching restores (FRAP) or mirror image FRAP (iFRAP) is commonly used to measure effective expansion The rate of dissipating.However, FRAP or iFRAP method is due to needing stringent hypothesis and there is serious applied defects, because these are false If not being able to satisfy in biosystem usually.Firstly, current FRAP or iFRAP analysis is strictly dependent on entire target area The distribution of diffusing molecules does not require nothing more than it and is in stable state, and requiring target area is the distribution of homogeneity or diffusing molecules Meet certain specific function.Therefore, FRAP or iFRAP is unrealistic for most of highly dynamic biological process , and may cause misleading conclusion or explanation.Secondly, FRAP or iFRAP analysis method is by involved by biomolecule Various kineticses strong influence, such as with acceptor interaction, Reversible binding, cell endocytic and exocytosis, drop Solution.Ignoring these influence factors may cause quite inaccurate measurement result.Third, in the current analysis side FRAP/iFRAP In method, sample geography geometry excessively simplifies, thus causes very big error.Therefore, it is resulted at present using traditional technology Many misleading scientific conclusions or explanation and application, need the appearance of new technology.
Summary of the invention
The present invention proposes a kind of method for measuring biomolecule effective diffusion cofficient, few to the hypotheses of application, and answers It is wider with range.
The present invention uses following technical scheme.
A method of measurement biomolecule effective diffusion cofficient, the measurement method include the following steps;
A1, planning need to measure the biomolecule of diffusion coefficient the initial markers region region ROI0, ROI0 be label to The distributed areas put between surveying biomolecule at the beginning;Plan diffusion process collection of images the region ROI1, ROI1 of biomolecule Range is greater than biomolecule diffusion process to be measured and carries out biomolecule diffusion rear region in collection of images time window;The ROI1 Range be greater than ROI0;
A2, fluorescent marker or other optical markings are carried out to the biomolecule in the ROI0 of region;
A3, the biomolecule in ROI0 is spread, and ensures that the diffusion zone of biomolecule is less than region ROI1, to region Biomolecule diffusion process in ROI1 carries out dynamic image collection;
Whether dynamic image collected by A4, verification is effective, such as expansion of the labeled biomolecule in collection of images process Scattered region is always positioned in the areas imaging of dynamic image, then determines that collected dynamic image is effective dynamic image;
A5, dimensionality reduction is carried out to image data, the plane coordinates data of biomolecule diffusion process is generated according to image data;
A6, the plane coordinates data according to generation, the effective diffusion cofficient of biomolecule diffusion process is gone out with the derivation of equation.
Formulation process in step A6 is as follows;
Region ROI1 is the target area that dynamic image is collected;
If a is that target area testing molecule is distributed in extracellular ratio;When a value is known or is surveyed by other methods When the value obtained;
Derivation process A is;
Some pixel position x subscript in observation visual field when if I (t) represents observation time point t when dynamic image is collected The corresponding light intensity of the diffusing molecules of note, the light intensity are proportional to molecular number;X is located at the area of the big visual field ROI1 [a, b] of imaging observation Interior corresponding position coordinate, the origin of coordinate are typically chosen in the geometric center of ROI1;x2For square of location coordinate;Adduction It number indicates to sum to the product of the light intensity of all positions and location coordinate square, is approximately integral if data point is continuous enough;t For the time point of sampling, take the moment of optical markings as starting point t0;The fluorescence intensity of each position in target area is multiplied by position That square summation set obtains is F1 (t);
Function performance graph then is obtained by biomolecule diffusion experiment data, formula 1 is derived from by function performance graph:
The denominator of the formula is the total fluorescence intensity in ROI1, as the correction of optical signalling, referring to attached drawing 1;
This experimental data is fitted by the function that formula 2 is stated again;
Formula 2:
K is obtained by fitting0And D α/k0.Wherein K0And a is constant, D is effective diffusion cofficient.
Preferably, when a value is unknown,
Derivation process B is;
If s be observe imaging time window [0, t] in some time point, [- l, l] be initial markers region ROI0 or It is that any one includes initial markers area but the region sufficiently small relative to ROI1, which is denoted as ROI2;λ is constant, referring to Attached drawing 1,
Function performance graph then is obtained by biomolecule diffusion experiment data, formula 3 is derived from by function performance graph:
The function curve stated by formula 3 can the Fitting Calculation go out a value;Again via K obtained by derivation process A0And D α/k0 Numerical value, D can be calculated.
Preferably, derivation process B does not carry out direct the Fitting Calculation to D with formula 3.
Reason is that the D of formula 3 is appeared in exponential function, therefore if deviation will be non-by the D that the formula fitting comes out Chang great, therefore formula 3 should not carry out direct the Fitting Calculation to D
In step A2, the method for fluorescent marker include use can light turn or can light activated fluorophor biology is divided Son is marked;The fluorophor includes that light turning egg(s) is white.
In step A5, when collection of images region ROI1 has symmetrical spatial symmetry, according to image data The 2-D data of biomolecule diffusion process is projected to formation one-dimensional data at symmetry axis.
In step A3, when carrying out dynamic image collection, optical signal is collected using detector, and cut using the light of superposition Cylinder carries out light signal collection and is reached with eliminating the movement of fluorescent tag molecule in the Z-axis direction influence caused by dynamic data The dimensionality reduction effect acquired to data.
In step A4, whether keep permanent at any time by label optical signalling total in ROI1 during calculating imaging It is fixed, the imaging model of dynamic image whether is always positioned to determine labeled biomolecule in the diffusion zone of collection of images process In enclosing, if total label optical signalling is kept constant at any time, illustrate that diffusing molecules were not both sent out in time of measuring window Raw degradation, also without diffusion out-of-bounds.
During the dynamic image of step A3 is collected, need to guaranteeing sample belonging to biomolecule, there is no whole shiftings Dynamic or deformation, to prevent the biomolecule DYNAMIC DISTRIBUTION data obtained from deviation occur.
Compared with prior art, present invention has an advantage that
A. few using hypotheses, it does not require the distribution of diffusing molecules to be in stable state, dynamic process can be analyzed;Also it does not require Target area is that the distribution of homogeneity or diffusing molecules meets certain specific function.
B. it is contemplated that the influence of various kineticses, for example, with acceptor interaction, Reversible binding, cell endocytic and The processes such as exocytosis, degradation, the real time different scale that can be occurred according to various dynamic processes adjust reality when measurement Test time scale.
C. the case where being applicable not only to stable state is equally applicable to the measurement of highly dynamic cell, tissue, organ.
D. measurement method has a wide range of application, and is applicable not only in contrast more inert diffusing molecules, is also applied for Biological diffusing molecules in complex biological vivo environment.
E. can comprehensively consider the geometry of irregular organism, object under test, the specific imaging of regulation experiment and Stakeout & Homicide Preservation Strategy.
It is also an advantage of the present invention that:
A. the precision of measurement biomolecule effective diffusion cofficient is improved;
B. measurement method has a wide range of application, and is applicable not only in contrast more inert diffusing molecules, is also applied for Biological diffusing molecules in complex biological vivo environment;The case where being applicable not only to stable state is equally applicable to highly dynamic Cell, tissue, organ measurement;
C. this method can be made as application module, to be directly embedded into the operating system of current all high-end microscope imagings In, there is stronger practicability and preferable social benefit.
Detailed description of the invention
The present invention is described in more detail with reference to the accompanying drawings and detailed description:
Attached drawing 1 is in embodiment, and dispersion ability propagates schematic diagram after biomolecule light turns label
Attached drawing 2 is in embodiment, and disk Dpp::Dendra2 occurs for drosophila larvae eye before light turns after (left side) and light turn The distribution schematic diagram on (right side);
Attached drawing 3 is red fluorescence dynamic communication dynamic image data after Dpp::Dendra2 is turned by light in analysis drosophila eye disk Schematic diagram;
Attached drawing 4 is the F that Dpp::Dendra2 is turned rear red fluorescence dynamic communication dynamic data by light in drosophila eye disk1(t)、 F2(t) it is fitted legend;
Specific embodiment
As shown in the picture, a method of measurement biomolecule effective diffusion cofficient, it is characterised in that: the measurement method Include the following steps;
A1, planning need to measure the biomolecule of diffusion coefficient the initial markers region region ROI0, ROI0 be label to The distributed areas put between surveying biomolecule at the beginning;Plan diffusion process collection of images the region ROI1, ROI1 of biomolecule Range is greater than biomolecule diffusion process to be measured and carries out biomolecule diffusion rear region in collection of images time window;The ROI1 Range be greater than ROI0;
A2, fluorescent marker or other optical markings are carried out to the biomolecule in the ROI0 of region;
A3, the biomolecule in ROI0 is spread, and ensures that the diffusion zone of biomolecule is less than region ROI1, to region Biomolecule diffusion process in ROI1 carries out dynamic image collection;
Whether dynamic image collected by A4, verification is effective, such as expansion of the labeled biomolecule in collection of images process Scattered region is always positioned in the areas imaging of dynamic image, then determines that collected dynamic image is effective dynamic image;
A5, dimensionality reduction is carried out to image data, the plane coordinates data of biomolecule diffusion process is generated according to image data;
A6, the plane coordinates data according to generation, the effective diffusion cofficient of biomolecule diffusion process is gone out with the derivation of equation.
Formulation process in step A6 is as follows;
Region ROI1 is the target area that dynamic image is collected;
If a is that target area testing molecule is distributed in extracellular ratio;When a value is known or is surveyed by other methods When the value obtained;
Derivation process A is;
Some pixel position x subscript in observation visual field when if I (t) represents observation time point t when dynamic image is collected The corresponding light intensity of the diffusing molecules of note, the light intensity are proportional to molecular number;X is located at the area of the big visual field ROI1 [a, b] of imaging observation Interior corresponding position coordinate, the origin of coordinate are typically chosen in the geometric center of ROI1;x2For square of location coordinate;Adduction It number indicates to sum to the product of the light intensity of all positions and location coordinate square, is approximately integral if data point is continuous enough;t For the time point of sampling, take the moment of optical markings as starting point t0;The fluorescence intensity of each position in target area is multiplied by position That square summation set obtains is F1 (t);
Function performance graph then is obtained by biomolecule diffusion experiment data, formula 1 is derived from by function performance graph:
The denominator of the formula is the total fluorescence intensity in ROI1, as the correction of optical signalling, referring to attached drawing 1;
This experimental data is fitted by the function that formula 2 is stated again;
Formula 2:
K is obtained by fitting0And D α/k0.Wherein k0And a is constant, D is effective diffusion cofficient.
Preferably, when a value is unknown,
Derivation process B is;
If s be observe imaging time window [0, t] in some time point, [- l, l] be initial markers region ROI0 or It is that any one includes initial markers area but the region sufficiently small relative to ROI1, which is denoted as ROI2;λ is constant, referring to Attached drawing 1,
Function performance graph then is obtained by biomolecule diffusion experiment data, formula 3 is derived from by function performance graph:
The function curve stated by formula 3 can the Fitting Calculation go out a value;Again via k obtained by derivation process A0And D α/k0 Numerical value, D can be calculated.
Preferably, derivation process B does not carry out direct the Fitting Calculation to D with formula 3.
Reason is that the D of formula 3 is appeared in exponential function, therefore if deviation will be non-by the D that the formula fitting comes out Chang great, therefore formula 3 should not carry out direct the Fitting Calculation to D
In step A2, the method for fluorescent marker include use can light turn or can light activated fluorophor biology is divided Son is marked;The fluorophor includes that light turning egg(s) is white.
In step A5, when collection of images region ROI1 has symmetrical spatial symmetry, according to image data The 2-D data of biomolecule diffusion process is projected to formation one-dimensional data at symmetry axis.
In step A3, when carrying out dynamic image collection, optical signal is collected using detector, and cut using the light of superposition Cylinder carries out light signal collection and is reached with eliminating the movement of fluorescent tag molecule in the Z-axis direction influence caused by dynamic data The dimensionality reduction effect acquired to data.
In step A4, whether keep permanent at any time by label optical signalling total in ROI1 during calculating imaging It is fixed, the imaging model of dynamic image whether is always positioned to determine labeled biomolecule in the diffusion zone of collection of images process In enclosing, if total label optical signalling is kept constant at any time, illustrate that diffusing molecules were not both sent out in time of measuring window Raw degradation, also without diffusion out-of-bounds.
During the dynamic image of step A3 is collected, need to guaranteeing sample belonging to biomolecule, there is no whole shiftings Dynamic or deformation, to prevent the biomolecule DYNAMIC DISTRIBUTION data obtained from deviation occur.
Embodiment:
As shown in attached drawing 1-4, the eyes organ (eyes formation disk) of Dpp::Dendra2 drosophila larvae is dissected, is carried out external Culture.
In vitro culture is carried out according to normal process, and culture medium is Life company Schneider ' s Insect culture medium, is added 1% calf serum of Hyclone, culture vessel are that Nest brand is copolymerized burnt microscopy special culture dish.
It carries out light and turns-dynamic imaging experiment:
Leica Laser Scanning Confocal Microscope, which is inverted, using SP5 carries out real time imagery experiment.Pass through (the discoloration of two-photon pulse laser Dragon) at about 800nm to Dendra2 carry out light conversion: laser power 25%-30%, MP gain 100%, MP deviate 12%- 60%, scanning excitation 2-3 times within 2 seconds.Dendra2 can emit red fluorescence after light turns, and (drosophila larvae eye occurs referring to fig. 2 Distribution map of the disk Dpp::Dendra2 before light turns and after light turn).Light turns region ROI0 and is selected as 10 × 10 μ in tissue plane M2 square.Collect image using 40 × 1.25 oil immersion lens: the output of laser rays 543nm 15% (is imaged) for red fluorescence With the output of 488nm laser lower than 0.5% (if desired, green fluorescence is imaged before light conversion), every 0.30 μ m of pixel 0.30 μm of progress confocal scanning imaging.Copolymerization coke Z lamination is sliced (about 12 μ m-thick in total) by five confocal optics and forms, with 20 The interval real time imagery of second obtains 5~10 minutes.
Dynamic imaging data is analyzed, the effective diffusion cofficient of Dpp is calculated:
During image real time transfer, specifying ROI1 is 30-40 × 30-40 μm2Square, light turns region ROI0 In its center.Select ROI1 sufficiently large to guarantee total red fluorescence in the time window of monitoring in ROI1 in two directions Signal strength is kept constant, this quality guarantee link can guarantee that the Dpp::Dendra2 molecule in ROI1 does not spread out-of-bounds, It is not degraded in observation time window.ROI2 may be selected it is Chong Die with ROI0 or with ROI0 with length wide, with the same length of ROI1 It is rectangular.Referring to Fig. 3, (Dpp::Dendra2 turns rear red fluorescence dynamic communication dynamic image data by light in analysis drosophila eye disk Schematic diagram).After light turns, image is obtained according to same time interval.Two specific ROI are chosen on each image (ROI1 and ROI2).By the variation of the fluorescence distribution in ROI1 from two dimension drop at one-dimensional, then to fluorescence intensity on each position The as F obtained multiplied by square summation of position1(t).F is fitted using the variation of fluorescence intensity in ROI2 in different time2(t)。 Go out D according to two formula fittingsαEffective diffusion cofficient D can be calculated by being divided by with α.Representative fitting result is referring to fig. 4.According to Such process measures 8 samples, is averaged, and obtaining Dpp molecule in the effective diffusion cofficient of drosophila larvae eye disk is 0.48 μ m2/s。

Claims (9)

1.一种测量生物分子有效扩散系数的方法,其特征在于:所述测量方法包括以下步骤;1. A method for measuring the effective diffusion coefficient of biomolecules, characterized in that: the measuring method comprises the following steps; A1、规划需测量扩散系数的生物分子的初始标记区域ROI0,ROI0区域为标记的待测生物分子在初始时间点的分布区域;规划生物分子的扩散过程影像收集区域ROI1,ROI1范围大于待测生物分子扩散过程进行影像收集时间窗口内生物分子扩散后区域;所述ROI1的范围大于ROI0;A1. Plan the initial labeling area ROI0 of the biomolecule whose diffusion coefficient needs to be measured, and the ROI0 area is the distribution area of the labeled biomolecule to be measured at the initial time point; plan the image collection area ROI1 of the diffusion process of the biomolecule, and the range of ROI1 is larger than that of the biological molecule to be measured. The molecular diffusion process is performed in the area after the biomolecules diffused within the image collection time window; the range of the ROI1 is greater than the ROI0; A2、对区域ROI0内的生物分子进行荧光标记或其他光学标记;A2. Fluorescent labeling or other optical labeling of biomolecules in the region ROI0; A3、使ROI0内的生物分子扩散,并确保生物分子的扩散区域小于区域ROI1,对区域ROI1内的生物分子扩散过程进行动态影像收集;A3. Make the biomolecules in the ROI0 diffuse, and ensure that the diffusion area of the biomolecules is smaller than the area ROI1, and collect dynamic images of the diffusion process of the biomolecules in the area ROI1; A4、校验所收集的动态影像是否有效,如被标记的生物分子在影像收集过程的扩散区域始终位于动态影像的成像范围内,则判定所收集的动态影像为有效的动态影像;A4. Verify whether the collected dynamic images are valid. If the labeled biomolecules are always within the imaging range of the dynamic images in the diffusion area of the image collection process, the collected dynamic images are determined to be valid dynamic images; A5、对影像数据进行降维,根据影像数据生成生物分子扩散过程的平面坐标数据;A5. Reduce the dimension of the image data, and generate the plane coordinate data of the biomolecular diffusion process according to the image data; A6、根据生成的平面坐标数据,以公式推导出生物分子扩散过程的有效扩散系数。A6. According to the generated plane coordinate data, the effective diffusion coefficient of the biomolecular diffusion process is deduced by a formula. 2.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A6中的公式推导过程如下;2. a kind of method for measuring the effective diffusion coefficient of biomolecules according to claim 1, is characterized in that: the formula derivation process in step A6 is as follows; 区域ROI1为动态影像收集的目标区域;The area ROI1 is the target area for dynamic image collection; 设a为目标区域待测分子分布于细胞外的比例;当a值为已知或是通过其他方法测得的值时;Let a be the proportion of the molecule to be tested in the target area distributed outside the cell; when the value of a is known or measured by other methods; 推导过程A为;The derivation process A is; 设I(t)代表动态影像收集时某观测时间点t时观测视野中某个像素点位置x上标记的扩散分子对应的光强,该光强正比于分子数;x位于成像观测的大视野ROI1[a,b]的区间内的对应位置座标,座标的原点一般选择为ROI1的几何中心;x2为位置座标的平方;加和号表示对所有位置的光强与位置座标平方的乘积求和,若数据点足够连续则近似为积分;t为采样的时间点,取光学标记的瞬间作为起始点t0;目标区域每个位置的荧光强度乘以位置的平方求和得到的即为F1(t);Let I(t) represent the light intensity corresponding to the diffused molecules marked at a certain pixel position x in the observation field at a certain observation time point t when the dynamic image is collected, and the light intensity is proportional to the number of molecules; x is located in the large field of view of imaging observation The corresponding position coordinates in the interval of ROI1[a,b], the origin of the coordinates is generally selected as the geometric center of ROI1; x 2 is the square of the position coordinates; the sum sign indicates the square of the light intensity of all positions and the square of the position coordinates. The summation of products, if the data points are sufficiently continuous, is approximated as an integral; t is the sampling time point, and the instant of the optical mark is taken as the starting point t 0 ; the fluorescence intensity of each position in the target area is multiplied by the square of the position to obtain is F1(t); 则由生物分子扩散实验数据获得函数动态曲线,由函数动态曲线推导得出Then the function dynamic curve is obtained from the experimental data of biomolecular diffusion, and is derived from the function dynamic curve. 公式1: Formula 1: 该公式的分母为ROI1内的总荧光强度,作为光学信号的校正,参见附图1;The denominator of this formula is the total fluorescence intensity in ROI1, as the correction of the optical signal, see Figure 1; 此实验数据再次按公式2所表述的函数进行拟合;This experimental data is fitted again according to the function expressed by formula 2; 公式2: Formula 2: 通过拟合得出k0以及Dα/k0;其中k0以及a为常数,D为有效扩散系数。K 0 and Dα/k 0 are obtained by fitting; where k 0 and a are constants, and D is the effective diffusion coefficient. 3.根据权利要求2所述的一种测量生物分子有效扩散系数的方法,其特征在于:3. a kind of method for measuring the effective diffusion coefficient of biomolecules according to claim 2 is characterized in that: 当a值未知时,When the value of a is unknown, 推导过程B为;The derivation process B is; 设s为观测成像时间窗口[0,t]中的某个时间点,[-l,l]为初始标记的区域ROI0或是任意一个包含初始标记区但相对于ROI1足够小的区域,该区域记为ROI2;Let s be a certain time point in the observation imaging time window [0, t], [-l, l] be the initial marked area ROI0 or any area that contains the initial marked area but is small enough relative to ROI1, the area Denote it as ROI2; λ为常数,参见附图1,λ is a constant, see Figure 1, 则由生物分子扩散实验数据获得函数动态曲线,由函数动态曲线推导得出Then the function dynamic curve is obtained from the experimental data of biomolecular diffusion, and is derived from the function dynamic curve. 公式3:Formula 3: 由公式3所表述的函数曲线可拟合计算出a值;再经由推导过程A所得k0以及Dα/k0的数值,即可计算出D。The function curve expressed by formula 3 can be fitted to calculate the value of a; and then the value of k 0 and Dα/k 0 obtained from the derivation process A can be calculated to calculate D. 4.根据权利要求3所述的一种测量生物分子有效扩散系数的方法,其特征在于:推导过程B不以公式3对D进行直接拟合计算。4 . The method for measuring the effective diffusion coefficient of biomolecules according to claim 3 , wherein the derivation process B does not directly fit and calculate D with formula 3. 5 . 5.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A2中,荧光标记的方法包括使用可光转或是可光激发的荧光基团对生物分子进行标记;所述荧光基团包括光转蛋白。5. A method for measuring the effective diffusion coefficient of biomolecules according to claim 1, wherein in step A2, the method for fluorescent labeling comprises using photoconvertible or photoexcitable fluorophores for biomolecules labeling; the fluorophore includes phototransprotein. 6.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A5中,当影像收集区域ROI1具有左右对称的空间对称性时,根据影像数据把生物分子扩散过程的二维数据投射至对称轴处形成一维数据。6 . The method for measuring the effective diffusion coefficient of biomolecules according to claim 1 , wherein in step A5 , when the image collection region ROI1 has left-right symmetrical spatial symmetry, the biomolecules are diffused according to the image data. 7 . The two-dimensional data of the process is projected onto the symmetry axis to form one-dimensional data. 7.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A3中,进行动态影像收集时,使用检测器收集光信号,并且采用叠加的光切柱体进行光信号采集,以消除荧光标记分子在Z轴方向上的移动对动态数据造成的影响,达到数据采集的降维效果。7 . The method for measuring the effective diffusion coefficient of biomolecules according to claim 1 , wherein in step A3 , when collecting dynamic images, a detector is used to collect light signals, and a superimposed light section cylinder is used. 8 . Optical signal acquisition is performed to eliminate the influence of the movement of fluorescently labeled molecules in the Z-axis direction on dynamic data, and to achieve the dimensionality reduction effect of data acquisition. 8.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A4中,通过计算成像过程中在ROI1内总的标记光学信号是否随时间保持恒定,来确定被标记的生物分子在影像收集过程的扩散区域是否始终位于动态影像的成像范围内,如果总的标记光学信号随时间保持恒定,则说明扩散分子在测量时间窗口内既未发生降解,也没有扩散出界。8. The method for measuring the effective diffusion coefficient of biomolecules according to claim 1, wherein in step A4, by calculating whether the total marked optical signal in the ROI1 remains constant over time during the imaging process, to determine Whether the diffused region of the labeled biomolecules is always within the imaging range of the dynamic image during the image collection process, and if the total labeled optical signal remains constant over time, it means that the diffused molecules are neither degraded nor diffused within the measurement time window Out of bounds. 9.根据权利要求1所述的一种测量生物分子有效扩散系数的方法,其特征在于:在步骤A3的动态影像收集过程中,需保证生物分子所属的样品没有发生整体的移动或形变,以防止得出的生物分子动态分布数据出现偏差。9. The method for measuring the effective diffusion coefficient of biomolecules according to claim 1, wherein in the dynamic image collection process of step A3, it is necessary to ensure that the sample to which the biomolecules belong does not move or deform as a whole, so that Prevents bias in the resulting biomolecular dynamic distribution data.
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