CN111855657B - Sperm motility evaluation method based on energy gradient - Google Patents
Sperm motility evaluation method based on energy gradient Download PDFInfo
- Publication number
- CN111855657B CN111855657B CN202010711921.4A CN202010711921A CN111855657B CN 111855657 B CN111855657 B CN 111855657B CN 202010711921 A CN202010711921 A CN 202010711921A CN 111855657 B CN111855657 B CN 111855657B
- Authority
- CN
- China
- Prior art keywords
- sperm
- sperm motility
- energy gradient
- energy
- optical trap
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention relates to a sperm motility evaluation method based on energy gradient, which is characterized in that a binary complementary mask plate and a plurality of grating phase images for generating single light spots are generated based on a randomized binary complementary mask strategy, and a single hologram for generating a dot matrix optical trap is synthesized; loading the obtained hologram on a spatial light modulator, and carrying out phase regulation on an emergent light field to obtain an optical trap array with energy gradient; and capturing a batch of sperms in the microfluidic channel according to the obtained optical trap array with the energy gradient, and observing and tracking the escape process of each captured sperm in each energy gradient optical trap, thereby completing sperm motility evaluation based on the energy gradient. The invention can quantitatively, quickly and simply measure the sperm motility.
Description
Technical Field
The invention relates to the field of in-vitro sperm quality detection, in-vitro assisted reproduction and artificial insemination, in particular to a sperm motility evaluation method based on energy gradient, which is applied to the sperm motility detection in large batch.
Background
In the fields of breeding industry or assisted reproduction, the key to improving the efficiency of artificial insemination is to screen high-quality sperms. Assessment of sperm quality depends on a number of biomarkers including hematocrit, sperm density, osmolarity, seminal plasma pH, seminal plasma chemical composition, enzyme activity, ATP concentration, motility, morphology and ultrastructure, fertilization ability, and the like. Sperm motility is often used as an important parameter for sperm quality measurement due to its ease of evaluation. The evaluation of sperm motility is divided into a subjective method, a semi-quantitative method and a quantitative computer-aided method. Wherein, the subjective method is to divide the sperm motility into 5 grades according to the percentage of the sperm motility in the visual field: 1) Level 0, i.e. no motion state; 2) Grade 1, i.e. up to 25% of the sperm are moving; 3) Grade 2, i.e. up to 50% of the sperm are moving; 4) Grade 3, i.e. up to 75% of the sperm are moving; 5) Grade 4, i.e., more than 75% of the sperm are moving. It follows that the subjective method relies on experienced evaluators, statistical results cannot be obtained, and measurements are unreliable. In order to increase the accuracy of sperm motility measurements, the percentage of initially motile sperm can be measured by semi-quantitative analysis of sperm motility by two or more independent observers, in particular, recorded sperm motility video is played at low speed on a screen with a grid, however this method is very time consuming. The quantitative Computer-Aided principle consists of a Computer-Aided Sperm Analysis system (CASA), which visualizes and digitizes Sperm images by a Computer and processes and analyzes the Sperm images, in a manner that, despite its high reproducibility, is complex and expensive. Therefore, there is a need to develop a quantitative, rapid, and simple method for measuring sperm motility.
Disclosure of Invention
The technical solution of the present invention is: the method overcomes the defects of the prior art, and provides a sperm motility evaluation method based on energy gradient, which can accurately, quickly and simply quantitatively characterize the movement motility of a large batch of sperm by generating a plurality of optical trap arrays with energy gradient, thereby overcoming the defects of inaccuracy, time consumption, complexity and the like of the traditional characterization mode, getting rid of the requirements of professionals with rich experience, and reducing the operation requirements and the cost of sperm motility characterization.
The technical solution of the invention is as follows: a sperm motility evaluation method based on energy gradient is shown in figure 1 and comprises the following steps:
the method comprises the steps of firstly, generating a binary complementary mask plate and a plurality of grating phase images for generating single light spots by using a computer based on a randomized binary complementary mask strategy, and synthesizing to obtain a single hologram for generating the lattice optical trap, namely a synthetic phase.
And secondly, loading the synthesized phase obtained in the first step onto a spatial light modulator shown in fig. 4, and performing phase control on an emergent light field to obtain an optical trap array with N energy gradients.
And thirdly, capturing a batch of sperms in the microfluidic channel based on the optical trap array with N energy gradients obtained in the second step, and observing and tracking the escape process of each captured sperm in each energy gradient optical trap, thereby completing the sperm motility evaluation based on the energy gradients.
The first step is realized by the following specific steps: based on a randomized binary complementary mask strategy, i.e. according to the energy ratio r of N traps 1 :r 2 :…:r N N-1 thresholds th calculated by normalization 1 ,th 2 ,…,th N-1 Then, the computer-generated initial matrix M is used to match all the thresholds (th) 1 ,th 2 ,…,th N-1 ) Comparing to obtain N binary complementary masks R 1 ,R 2 ,…,R N For example, when the value of an element at a certain position in M belongs to [0 1 ]When R is 1 The element value of the corresponding position in the group is set to 1, and the values of the remaining positions are set to 0; when the value of an element at a certain position in M belongs to [ th 1 ,th 2 ]When R is 2 The element value of the corresponding position in the group is set to 1, and the values of the remaining positions are set to 0; when the value of an element at a certain position in M belongs to [ th N-1 ,1]When R is N The element value of the corresponding position in the group is set to 1, and the values of the remaining positions are set to 0; n binary complementary masks are obtained based on the method. Finally, a plurality of grating phases P for generating single point-like optical traps 1 ,P 2 ,…,P N Mask plate R complementary to binary value 1 ,R 2 ,…,R N And correspondingly multiplying and summing to obtain a synthetic phase P.
The second step is realized by the following specific steps: and turning on a laser light source, collimating and beam-expanding a columnar light beam emitted by the laser light source, irradiating the columnar light beam onto a spatial light modulator, loading the synthetic phase P generated in the first step onto the spatial light modulator, changing the phase of an emitted light field due to the phase regulation and control effect of the spatial light modulator, adjusting the axial position of an objective lens, focusing a focus on the lower surface of a microfluidic channel, and generating an optical trap array with N energy gradients on a focal plane.
The third step is specifically realized by the following steps: injecting sperm solution into the inlet end of the microfluidic channel, wherein because of the attraction effect of the optical traps, the sperm with the weakest vitality can be captured by the optical traps with various energy gradients, and the sperm with the greatest vitality can only be captured by the optical trap with the strongest light intensity; and the injection of the culture solution at different constant speeds can be started at different stages after the injection of the sperm solution, so as to accelerate the escape process of each sperm captured by the energy gradient optical trap. And the escape condition of a large quantity of captured sperms is observed and tracked through video imaging, so that the evaluation process of the sperm motility is completed.
Compared with the prior art, the invention has the advantages that: the optical tweezers technology endows researchers with the micro-nano control capability, and can capture, control and quantitatively detect a research object in a non-contact mode. Meanwhile, as a sensitive force sensing probe, the optical tweezers are rarely characterized by sperm motility. The invention provides a method for evaluating sperm motility through a generated optical trap with energy gradient, which can quickly and accurately determine the sperm motility, and has the advantages that the evaluation process is accelerated and the sperm motility is quantitatively evaluated due to the combination of the constant-speed flow of microfluid, and the method comprises the following steps: 1) The measurement is accurate, the repeatability is high, and the theoretical value can reach 100%; 2) The sperm motility can be measured qualitatively and quantitatively; 3) The requirements on the expertise and experience of operators are reduced; 4) The operation is simple and convenient, and the detection cost can be quite low.
Drawings
FIG. 1 is a flow chart of an embodiment of a sperm motility assessment method based on energy gradient;
FIG. 2 is a diagram of an embodiment of an energy gradient optical trap for sperm motility assessment according to the invention;
FIG. 3 is a schematic diagram of acquisition of a synthetic phase for generating an optical trap with an energy gradient;
FIG. 4 is a schematic of the optical path for generating an energy gradient optical trap.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
As shown in fig. 2, the method of the present invention includes the following steps:
first, based on the randomized binary complementary mask strategy, as shown in fig. 3, a binary complementary mask R is generated 1 ,R 2 ,R 3 ,R 4 And four for generating a singleRaster phase pattern P of light spot 1 ,P 2 ,P 3 ,P 4 In which the grating phases P of different spatial frequencies 1 ,P 2 ,P 3 ,P 4 The point-like light spots can be generated at four different specified positions in the camera view field; subjecting binary complementary mask plate R 1 ,R 2 ,R 3 ,R 4 And a grating phase pattern P 1 ,P 2 ,P 3 ,P 4 The respective multiplications are summed to finally obtain a single composite phase P for generating an optical trap array with an energy gradient.
The specific implementation steps are as follows:
1) Generating a randomized initial matrix M of size M x n, with elements in M obeying a uniform distribution between [0,1], according to the resolution of the spatial light modulator or the phase plate;
2) Setting the number of optical traps N =4, and the energy ratio r between the traps 1 :r 2 :…:r N Calculating N thresholds th by normalization i I.e. by
i＝1,2,3；
3) As shown in fig. 3, the randomized initial matrix M is compared with the threshold values th obtained in the previous step i N binary complementary masks R can be determined i Dimension is the same as the randomized initial matrix M, and R i There is no intersection between them, and the result of their union is an all-one matrix (a matrix with all 1 element values). For example, when the value of an element at a position in the randomized initial matrix M belongs to [0 1 ]When R is 1 The element value of the corresponding position is set to 1, and the element values of the other positions are set to 0; when the element value at a position in the randomized initial matrix M belongs to [ th ] 1 ,th 2 ]When R is 2 The element value of the corresponding position is set to 1, and the element values of the other positions are set to 0; when the element value at a position in the randomized initial matrix M belongs to [ th 2 ,th 3 ]When R is 3 The element value of the corresponding position is set to 1, and the element values of the other positions are set to 0; when the element value at a position in the randomized initial matrix M belongs to [ th 3 ,1]When R is 4 The element value of the corresponding position is set to 1, and the element values of the other positions are set to 0;
1) Generating N grating phases P for producing optical traps at specific locations i ；
2) A binary complementary mask plate R i And the grating phase P i Multiplying and summing correspondingly to obtain a synthetic phase P, mathematical expression
N＝4。
In FIG. 3, the randomized initial matrix M is generated by a computer whose elements obey [0,1]]Uniformly distributed; threshold th i Is by means of a user-set energy ratio r 1 ,…,r N Calculated by a normalization operation, i.e.
i =1,2, \ 8230;, N-1; phase P of grating i For generating a single optical trap at a specified location; the synthetic phase P loaded on the spatial light modulator is formed by the binary complementary mask plate R i And a grating phase P i Is synthesized to obtain
N＝4。
Secondly, loading the synthesized phase P obtained in the first step onto a spatial light modulator shown in fig. 4, and performing phase control on the emergent light field to obtain four optical trap arrays shown in fig. 2 with energy gradients, wherein the energy ratio of the four optical trap arrays is equal to the phase P corresponding to the grating in the first step i Binary complementary mask plate R i The ratio of squares of the number of effective pixels (the effective pixels refer to the binary complementary mask R) i A pixel with a middle element value equal to 1).
And thirdly, capturing a batch of sperms in the microfluidic channel based on the four optical trap arrays with energy gradients obtained in the second step, observing and tracking the escape process of each captured sperm in each energy gradient optical trap, thereby completing sperm motility evaluation based on the energy gradients. Specifically, if a single sperm can be captured by the four energy gradient optical traps of fig. 2, the sperm is labeled with a motility rating of 1; labeling a sperm motility rating of 2 if a single sperm can be captured by the energy gradient optical trap 2-4 of figure 2; labeling a sperm motility rating of 3 if a single sperm can be captured by the energy gradient optical trap 3-4 of figure 2; if a single sperm can only be captured by the optical trap 4 with the strongest energy, then the mirror viability grade is marked as 4; based on which the activity of each sperm in the visual field was qualitatively characterized. In addition, a speed threshold value of each sperm escaping from the visual field is determined through the constant-speed flow of the external injection culture solution, the speed threshold value is used as a quantitative basis for the sperm motility characterization, if a single sperm can escape from the optical trap at a set speed minimum value (10 mu m/s), the speed is used as an evaluation index of the sperm motility, if a single sperm can escape from the trap at a set speed maximum value (100 mu m/s), the speed is used as the evaluation index of the sperm motility, and meanwhile, the speed interval is set to be 10 mu m/s to quantitatively estimate the sperm escaping threshold value in the speed range of 10-100 mu m/s, so that the sperm motility evaluation based on the energy gradient is completed.
In order to realize the representation of the motility of mass sperms by using the energy gradient optical trap, the invention introduces an energy gradient trap generation method, the principle of which is shown in figure 3, and the grating phases P of four different spatial frequencies 1 、P 2 、P 3 、P 4 Mask plate R complementary to binary value 1 、R 2 、R 3 、R 4 Multiplying and summing to obtain a composite phase P, loading it to nullAfter the intermediate light modulator, the four optical traps with energy gradients illustrated in fig. 3 will be generated in the focal plane of the objective lens, and the same principle can be applied to more optical traps with energy gradients.
To experimentally generate multiple optical traps with energy gradient, based on the basic structure of holographic optical tweezers, as shown in fig. 4, a captured laser is collimated and expanded, and then irradiated onto a Spatial Light Modulator (SLM), and a desired synthetic phase is loaded
N =4 for generating four optical traps with an energy gradient in the focal plane of the objective lens, and the position of a single optical trap is determined by the corresponding grating phase P i While the energy ratio between the traps satisfies r 1 :r 2 :…:r N I.e. binary complementary mask R 1 、R 2 、R 3 、R 4 Is the ratio of the squares of the effective pixel numbers of (a). Because the interaction results of the sperms with different movement activities and the optical traps with different energy gradients are different, for example, the sperms with weaker movement activities can be captured by the optical traps with lower energy and can be captured by the traps with higher energy; while the sperm with strong motility can only be captured by a high-energy trap. After designing an optical trap array from weak to strong (in fig. 4, trap energy is gradually increased from top to bottom, and trap energy in the horizontal direction is consistent), injecting a quantitative sperm sample through the microfluidic channel inlet in fig. 4, recording the capture and escape conditions of the sperm by the array trap by using a camera, and classifying the sperm into a plurality of grades according to the capture result of a single sperm by the strong and weak trap, for example, classifying the sperm into 4 grades in fig. 4, namely, grade 1, grade 2, grade 3 and grade 4, wherein corresponding sperm motility is increased from weakest to strongest; specifically, the least motile sperm can be captured by the level 1 (weakest) optical trap, while the most motile sperm can only be captured by the level 4 (strongest) optical trap. Thus, the array optical trap with gradient energy can rapidly classify the motility level of the sperm. Alternatively, a suitable flow rate may be injected through the microfluidic channelThe fluid, impacting the captured sperm, can also more rapidly determine the level of motility of the sperm as the less viable sperm escape first as the flow rate is increased.
The schematic diagram of the experimental optical path is shown in fig. 4, wherein the collimated and expanded laser beam is reflected to the aperture behind the objective lens by the dichroic mirror after being subjected to the phase control action of the spatial light modulator (on which the synthetic phase P is loaded), and is used for generating an optical trap array with an energy gradient on the focal plane of the objective lens; the illumination light source is used for illuminating the microfluidic channel, so that experiment observation and recording are facilitated, the illumination light source penetrating through the microfluidic channel is collected by the objective lens, then transmits the dichroic mirror, is reflected to the sleeve lens by the reflector, and images the sperm sample on the camera; the sleeve lens and objective lens are matched to achieve the desired imaging magnification.
The above examples are provided only for the purpose of describing the present invention, and are not intended to limit the scope of the present invention. The scope of the invention is defined by the appended claims. Various equivalent substitutions and modifications can be made without departing from the spirit and principles of the invention, and are intended to be within the scope of the invention.
Claims (4)
1. A sperm motility evaluation method based on energy gradient is characterized by comprising the following implementation steps:
firstly, generating a binary complementary mask plate and a plurality of grating phase images for generating a single light spot based on a randomized binary complementary mask strategy, and synthesizing to obtain a single hologram for generating a dot matrix optical trap, namely a synthetic phase;
secondly, loading the synthetic phase obtained in the first step onto a spatial light modulator, and carrying out phase regulation on an emergent light field to obtain an optical trap array with N energy gradients;
thirdly, capturing a batch of sperms in the microfluidic channel according to the optical trap array with N energy gradients obtained in the second step; the concrete implementation is as follows:
recording the capture and escape process of a batch of sperm in a microfluidic channel using a camera, and obtaining the captured sperm by a particle tracking algorithmTaking the position of each sperm in a camera view field, comparing the positions of N energy gradient optical traps with the position of each sperm, and acquiring the residence time of each sperm in the optical traps, wherein if each sperm in the view field stays at the set N energy gradient optical traps, the batch of sperm in the camera view field can be captured by the optical traps, if a single sperm can be captured by the optical traps with various energy gradients, the lowest sperm motility is evaluated, the sperm motility grade is marked to be 1, if the single sperm can only be captured by the optical trap with the strongest energy, the sperm motility grade is marked to be N, so that the sperm motility of each sperm in the view field is qualitatively represented, wherein the value of N is set according to the number of the sperm in the camera view field and the resolution of a spatial light modulator in principle; in addition, a speed threshold value of each sperm escaping from a camera view field is determined through the constant-speed flow of the external injection culture solution, the speed threshold value is taken as a quantitative basis for the sperm motility characteristics, and if a single sperm is at a set speed minimum value v 1 The speed is used as the evaluation index of sperm motility when the sperm can escape from the optical trap; if the single sperm is at the set maximum velocity v X Escape from the trap, and the speed is used as an evaluation index of sperm motility; when the range of velocity values is v 1 To v X And determining the speed threshold value of the escape of the batch of sperms, and taking the threshold value as a sperm motility evaluation index, thereby completing the sperm motility evaluation based on the energy gradient.
2. An energy gradient-based sperm motility assessment method according to claim 1, wherein: in the first step, the randomized binary complementary mask strategy is implemented as: according to the energy ratio r of N traps 1 :r 2 :…:r N N-1 thresholds th calculated by normalization 1 ,th 2 ,…,th N-1 Obeying [0,1] using computer generated element values]With uniformly distributed randomized initial matrix M and its element values are compared with all threshold values th i Comparing to obtain N binary complementary masks R i Finally, a plurality of grating phases P for generating single point-like optical traps i And 2Value complementary mask R i Multiply and sum to obtain a single composite phase P, wherein
i＝1,2,…,N。
3. An energy gradient-based sperm motility assessment method according to claim 1, wherein: the second step is realized by the following specific steps: and turning on a laser light source, collimating and beam-expanding a columnar laser beam emitted by the laser light source, irradiating the columnar laser beam onto a spatial light modulator, loading the synthetic phase P generated in the first step onto the spatial light modulator, changing the phase of an emitted light field due to the phase regulation and control effect of the spatial light modulator, adjusting the axial position of an objective lens, focusing the focus of the objective lens to the lower surface of a microfluidic channel, and generating an optical trap array with an energy gradient on the focal plane of the objective lens.
4. An energy gradient-based sperm motility assessment method according to claim 1, wherein: in the third step, the particle tracking algorithm acquires the centroid position of each sperm in the field of view by adopting a centroid method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010711921.4A CN111855657B (en) | 2020-07-22 | 2020-07-22 | Sperm motility evaluation method based on energy gradient |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010711921.4A CN111855657B (en) | 2020-07-22 | 2020-07-22 | Sperm motility evaluation method based on energy gradient |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111855657A CN111855657A (en) | 2020-10-30 |
| CN111855657B true CN111855657B (en) | 2022-12-30 |
Family
ID=72950759
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010711921.4A Active CN111855657B (en) | 2020-07-22 | 2020-07-22 | Sperm motility evaluation method based on energy gradient |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111855657B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4601578A (en) * | 1982-05-25 | 1986-07-22 | Woolhouse James K | Measurement of sperm motility |
| CN1278598A (en) * | 1999-06-21 | 2001-01-03 | 中国科学技术大学 | Optically controlled sperm activity test device and method |
| CN1633591A (en) * | 2001-05-24 | 2005-06-29 | M.E.S.医学电子系统有限公司 | Semen analysis |
| CN102539303A (en) * | 2002-07-31 | 2012-07-04 | 阿尔利克斯公司 | Systems and method of sorting materials using holographic laser steering |
| WO2016118557A1 (en) * | 2015-01-20 | 2016-07-28 | President And Fellows Of Harvard College | Assessing metabolic condition of sperm |
| CN107475078A (en) * | 2017-10-12 | 2017-12-15 | 南京精竞生物科技有限公司 | A kind of sperm screening based on microflow control technique and bionic device in vitro fertilization |
| CN107615066A (en) * | 2015-05-07 | 2018-01-19 | 技术创新动力基金（以色列）有限合伙公司 | For biological cell and the interference system of biologic artifact and method including sperm |
| CN107624164A (en) * | 2015-05-15 | 2018-01-23 | 圣安德鲁斯大学董事会 | Using the mating plate layer imaging microscope of optical trap |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9767341B2 (en) * | 2010-12-14 | 2017-09-19 | The Regents Of The University Of California | Method and device for holographic opto-fluidic microscopy |
-
2020
- 2020-07-22 CN CN202010711921.4A patent/CN111855657B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4601578A (en) * | 1982-05-25 | 1986-07-22 | Woolhouse James K | Measurement of sperm motility |
| CN1278598A (en) * | 1999-06-21 | 2001-01-03 | 中国科学技术大学 | Optically controlled sperm activity test device and method |
| CN1633591A (en) * | 2001-05-24 | 2005-06-29 | M.E.S.医学电子系统有限公司 | Semen analysis |
| CN102539303A (en) * | 2002-07-31 | 2012-07-04 | 阿尔利克斯公司 | Systems and method of sorting materials using holographic laser steering |
| WO2016118557A1 (en) * | 2015-01-20 | 2016-07-28 | President And Fellows Of Harvard College | Assessing metabolic condition of sperm |
| CN107615066A (en) * | 2015-05-07 | 2018-01-19 | 技术创新动力基金（以色列）有限合伙公司 | For biological cell and the interference system of biologic artifact and method including sperm |
| CN107624164A (en) * | 2015-05-15 | 2018-01-23 | 圣安德鲁斯大学董事会 | Using the mating plate layer imaging microscope of optical trap |
| CN107475078A (en) * | 2017-10-12 | 2017-12-15 | 南京精竞生物科技有限公司 | A kind of sperm screening based on microflow control technique and bionic device in vitro fertilization |
Non-Patent Citations (2)
| Title |
|---|
| Biochemical characterization and sperm motility parameters of ostrich(Struthio camelus) semen;A. Ciereszko等;《Animal Reproduction Science》;20100822;全文 * |
| 甲壳动物精子质量和活力评价;管卫兵等;《海洋通报》;20030430;第22卷(第2期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111855657A (en) | 2020-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106520535B (en) | A kind of label-free cell detection device and method based on mating plate illumination | |
| RU2297198C2 (en) | Method for separating x-chromosome-carrying spermatic cells and y-chromosome-carrying spermatic cells | |
| US10578541B2 (en) | Flow cytometer with digital holographic microscope | |
| US6657221B2 (en) | Image classification method, observation method, and apparatus thereof with different stage moving velocities | |
| US7671345B2 (en) | Method of analysing a sample and apparatus therefor | |
| JP2009109218A (en) | Optical measuring method and optical measuring device of fine particle | |
| US20140065637A1 (en) | Determining Information for Cells | |
| US11101104B2 (en) | Multi modal cryo compatible GUID grid | |
| Pan et al. | Measurement and autocorrelation analysis of two‐dimensional light‐scattering patterns from living cells for label‐free classification | |
| CN111855657B (en) | Sperm motility evaluation method based on energy gradient | |
| US11530434B2 (en) | Cell mass evaluation method and device for analyzing state of cell mass | |
| US20150285785A1 (en) | Monitoring and/or characterising biological or chemical material | |
| US20240020949A1 (en) | Method for classifying an input image representing a particle in a sample | |
| CN112798504B (en) | Large-field-of-view high-throughput flow cytometry analysis system and analysis method | |
| EP3280999B1 (en) | Method and system for identifying microorganisms | |
| CN116888644A (en) | Method for classifying a sequence of input images representing particles in a sample over time | |
| Eremchev et al. | Measuring fluctuations in the intensity of a single point-like luminescence emitter: artifacts in processing microscopic images | |
| EP4365573A1 (en) | Biological sample analysis system, information processing device, information processing method, and biological sample analysis method | |
| Zhou et al. | Quality detection of laser welding based on one-dimensional convolutional neural network | |
| CN113916851A (en) | Micro-sorting method based on chlorophyll fluorescence signal | |
| Carr et al. | Defect classification using machine learning | |
| Kopylov | National Center for In-situ Tomographic Ultramicroscopy at New York Structural Biology Center | |
| Cossio | Free-energy profiles from single-molecule cryo-electron microscopy | |
| CN116735438A (en) | Method for measuring particle size of single particle or microbubble in real time based on optical interference | |
| Hugelier et al. | Eclipse: A versatile approach for structural and morphological analysis of 2D and 3D super-resolution fluorescence microscopy data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |