CN108088864A - A kind of material three-dimensional microstructure reconstructing method and system - Google Patents

A kind of material three-dimensional microstructure reconstructing method and system Download PDF

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CN108088864A
CN108088864A CN201711343453.4A CN201711343453A CN108088864A CN 108088864 A CN108088864 A CN 108088864A CN 201711343453 A CN201711343453 A CN 201711343453A CN 108088864 A CN108088864 A CN 108088864A
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dimension picture
picture sequence
micro
component distributing
section
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CN108088864B (en
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程昀
林月
刘晋
李正斌
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Zhejiang Long Battery Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/22Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
    • G01N23/2206Combination of two or more measurements, at least one measurement being that of secondary emission, e.g. combination of secondary electron [SE] measurement and back-scattered electron [BSE] measurement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence

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Abstract

The invention discloses a kind of material three-dimensional microstructure reconstructing methods and system, this method to include:S1. detected materials are performed etching, to obtain material section;S2. microstructure detection is carried out to the material section and Elemental redistribution detects, to obtain micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence;S3. according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, corresponding three-dimensional microstructures are obtained.The present invention can obtain the distributed in three dimensions of material composition;It can realize three-dimensional microstructures in a section etches and be obtained while component distributing, avoid the secondarily etched of material section;The standard divided by the use of elemental composition distribution as material solid phase constituent element, more accurate than now with the way of gray threshold, the division of material component categories is more extensive.

Description

A kind of material three-dimensional microstructure reconstructing method and system
Technical field
The present invention relates to material microstructures and ingredient representational field more particularly to a kind of material three-dimensional microstructure reconstruct side Method and system.
Background technology
The microstructure and component distributing information of material are to determine the deciding factor of material materialization behavior.However for a long time with Come, Characterization for Microstructure and component distributing analysis are independent.Scanning electron microscope is microstructure test One of main tool, scanning electron microscope can carry out microstructure to macroscopic view-to microcosmic or even nano-scale material Across scale measurement is to disclose the microcosmic multistage institutional framework (such as crystallite dimension, distributed mutually, interface feature, Impurity Distribution etc.) of material Important means.EDS energy disperse spectroscopies (X-ray Energy Dispersive Spectroscopy, abbreviation EDS) also known as micro- electricity Sub- probe is a kind of instrument for analyzing material element, is often combined with scanning electron microscope or transmission electron microscope, electronics is used under vacuum chamber Beam bombards sample surfaces, and excited species launches characteristic X-ray, according to the wavelength of characteristic X-ray, qualitative and semi-quantitative analysis object Prime element.Scanning electron microscope configuration X-ray energy spectrometer can by the microstructure of material and film micro area composition information and The data such as crystalline orientation establish contact.However, these technologies are defined in material surface to the detection of material, for material internal Structure distribution and substance distribution can not obtain.
Technology can perform etching material focused ion beam (Focused Ion Beam, FIB), so that material internal It is exposed, it is a kind of new micro-processing technology.Focused ion beam has been realized in combining with Scanning electron microscopy at present (FIB/SEM), a series of acquisition of material internal micro-structure two-dimensional image sequences can be realized by the technology.But at present, The three-dimensional reconstruction method of material microstructure is come real to the division of different materials component by the adjusting of two dimensional image gray threshold Existing.The shortcomings that this method to be difficult to accurately to determine there are threshold range, image sequence is difficult to continuously adjust, the micro- knot of three-dimensional of reconstruction Structure divides constituent element inaccurate.
The content of the invention
An embodiment of the present invention provides a kind of material three-dimensional microstructure reconstructing method and system, for obtaining material composition Distributed in three dimensions and solve the problems, such as that three-dimensional microstructures divide constituent element inaccurate in the prior art.
On the one hand, the embodiment of the present invention proposes a kind of material three-dimensional microstructure reconstructing method, the described method includes:
S1. detected materials are performed etching, to obtain material section;
S2. microstructure detection is carried out to the material section, to obtain the micro-structure two-dimension picture at section position, will obtained The micro-structure two-dimension picture taken is added to micro-structure two-dimension picture sequence;
Elemental redistribution detection is carried out to the material section, to obtain the component distributing two-dimension picture at section position, will be obtained The component distributing two-dimension picture taken is added to component distributing two-dimension picture sequence;
S3. according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, it is micro- to obtain corresponding three-dimensional See structure.
Further, in step S2, further include:Judge the micro-structure two-dimension picture sequence and component distributing two-dimension picture Whether sequence reaches default quantity;
If reaching, step S3 is performed;
It is no that then detected materials not up to are carried out with lasting sample introduction, until the sample introduction distance of the detected materials reaches default Sample introduction distance, and return to step S1.
Further, when continue sample introduction to detected materials, sample introduction direction is perpendicular to material section direction.
Further, step S3 is specially:
Micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
According to component distributing two-dimension picture sequence, phase group is carried out to the solid skeletal in the micro-structure two-dimension picture sequence Member division;
Micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
On the other hand, the embodiment of the present invention proposes a kind of material three-dimensional microstructure reconfiguration system, the system comprises:
Focused ion beam apparatus, for being performed etching to detected materials, to obtain material section;
Scanning electron microscope device, for carrying out microstructure detection to the material section, to obtain section position Micro-structure two-dimension picture, by the micro-structure two-dimension picture of acquisition be added to micro-structure two-dimension picture sequence;
X-ray energy spectrum device, for carrying out Elemental redistribution detection to the material section, to obtain the ingredient at section position Two-dimension picture is distributed, the component distributing two-dimension picture of acquisition is added to component distributing two-dimension picture sequence;
Image processing module, for according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, obtaining Take corresponding three-dimensional microstructures.
Further, described image processing module is additionally operable to:
Judge whether micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity.
Further, further include:
The progressive device of section, for carrying out continuing sample introduction to detected materials, until the sample introduction distance of the detected materials reaches To default sample introduction distance.
Further, when the progressive device of the section continue sample introduction to detected materials, sample introduction direction is perpendicular to material Expect section direction.
Further, if image processing module judges that micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach To default quantity, then described image processing module is according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence Row, obtain corresponding three-dimensional microstructures;
If described image processing module judges the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence not Reach default quantity, then the progressive device of section carries out detected materials to continue sample introduction, until the sample introduction distance of the detected materials After reaching default sample introduction distance, return and obtain material section step.
Further, described image processing module is according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture Sequence, obtaining corresponding three-dimensional microstructures is specially:
The micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
According to the component distributing two-dimension picture sequence, phase group is carried out to the solid skeletal in micro-structure two-dimension picture sequence Member division;
Micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
The material three-dimensional microstructure reconstructing method and system that the embodiment of the present invention is provided, have the advantages that:
1) distributed in three dimensions of material composition can be obtained;
2) three-dimensional microstructures can be realized and obtained while component distributing in a section etches, avoided material and break Face it is secondarily etched;
3) standard divided as material solid phase constituent element is distributed by the use of elemental composition, than the way now with gray threshold More accurate, the division of material component categories is more extensive.
Description of the drawings
Fig. 1 is a kind of material three-dimensional microstructure reconstructing method flow chart in embodiment one;
Fig. 2 is a kind of material three-dimensional microstructure reconfiguration system structure chart in embodiment three.
Specific embodiment
It is specific embodiments of the present invention and with reference to attached drawing below, technical scheme is further described, But the present invention is not limited to these embodiments.
Technical solution proposed by the present invention is:Section etching is carried out to material using focused ion beam as material etch instrument, The joint-detection of electron microscope and energy disperse spectroscopy is scanned to the section of formation, obtains the X-Y scheme of micro-structure and component distributing Picture, and according to micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, reconstruct three-dimensional microstructures.
It is the specific embodiment of the invention below.
Embodiment one
Fig. 1 is a kind of material three-dimensional microstructure reconstructing method flow chart in the present embodiment, as shown in Figure 1, the present embodiment A kind of middle material three-dimensional microstructure reconstructing method includes:
S1. detected materials are performed etching, to obtain material section;
In this step, detected materials are performed etching using focused ion beam apparatus, obtain material section;Focused ion beam It is the ion beam generated by Ga ion sources, focused ion beam accelerates by ion gun, material is performed etching;Focused ion beam Accelerating potential is adjusted according to different material characters.
In the present embodiment, the accelerating potential intensity of focused ion beam ejecting gun can be arranged to 20kV, utilize generation Accelerated ion beam carries out section etching to detected materials, and cross-sectional area can be 5 μm of 5 μ m.
S2. microstructure detection is carried out to the material section, to obtain the micro-structure two-dimension picture at section position, will obtained The micro-structure two-dimension picture taken is added to micro-structure two-dimension picture sequence;
Elemental redistribution detection is carried out to the material section, to obtain the component distributing two-dimension picture at section position, will be obtained The component distributing two-dimension picture taken is added to component distributing two-dimension picture sequence;
In this step, microstructure detection is carried out to the material section by scanning electron microscope device, to obtain The micro-structure two-dimension picture of acquisition is added to micro-structure two-dimension picture sequence by the micro-structure two-dimension picture at section position;
Scanning electron microscope (SEM) is the relatively modern RESEARCH ON CELL-BIOLOGY instrument of nineteen sixty-five invention, mainly profit The configuration of surface of sample is observed with secondary electron signal imaging, i.e., removes scanning sample with extremely narrow electron beam, passes through electronics The interaction of beam and sample generates various effects, wherein the mainly secondary of sample.Secondary electron can generate The X rays topographs of sample surfaces amplification, this seems chronologically to be set up when sample is scanned, i.e., using being imaged point by point Method obtains intensified image.
In this step, Elemental redistribution detection is carried out to the material section by X-ray energy spectrum device (energy disperse spectroscopy), to obtain The component distributing two-dimension picture at section position is taken, the component distributing two-dimension picture of acquisition is added to component distributing two-dimension picture sequence Row.
Energy disperse spectroscopy (EDS, Energy Dispersive Spectrometer) is for material domain component element kind Class and content analysis coordinate the use of scanning electron microscope and transmission electron microscope.Various elements have the X-ray of oneself Characteristic wavelength, the size of characteristic wavelength then depend on the characteristic energy △ E released during energy level transition, and energy disperse spectroscopy is exactly profit Constituent analysis is carried out with this different feature of different element x-ray photon characteristic energies.
In this step, the micro-structure two-dimension picture and component distributing two-dimension picture of detected materials can obtain simultaneously, realize Micro structure testing and on-line checking while composition detection.
S3. according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, it is micro- to obtain corresponding three-dimensional See structure.
In this step, image processing module is according to scanning electron microscope device and the section of X-ray energy spectrum device acquisition The micro-structure two-dimension picture at position and component distributing two-dimension picture obtain corresponding three-dimensional microstructures by image procossing, tool Body process includes:
S31. micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
S32. according to component distributing two-dimension picture sequence, the solid skeletal in the micro-structure two-dimension picture sequence is carried out Phase constituent element divides;
In this step, the alternate subregion of clear and definite solid skeletal is carried out by using component distributing X-Y scheme, makes solid skeletal Composition is more detailed.
S33. micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
In the present embodiment, in step S2, further include:Judge the micro-structure two-dimension picture sequence and component distributing X-Y scheme Whether piece sequence reaches default quantity;
If the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity, step is performed S3;
If the not up to default quantity of the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, to be measured Material carries out continuing sample introduction, until the sample introduction distance of the detected materials reaches default sample introduction distance, and return to step S1.
Wherein, when continue sample introduction to detected materials, sample introduction direction is perpendicular to material section direction.
In this step, material is carried out using section progressive device to continue sample introduction, sample introduction direction is perpendicular to material section Direction;
In addition, by setting default sample introduction distance (such as 200 nanometers), it can reach and material internal particle is realized at many levels The purpose of cutting.
The material three-dimensional microstructure reconstructing method that the present embodiment is provided, has the advantages that:
1) distributed in three dimensions of material composition can be obtained;
2) three-dimensional microstructures can be realized and obtained while component distributing in a section etches, avoided material and break Face it is secondarily etched;
3) standard divided as material solid phase constituent element is distributed by the use of elemental composition, than the way now with gray threshold More accurate, the division of material component categories is more extensive.
Embodiment two
In the present embodiment, before the reconstruct of material three-dimensional microstructure, further include:Material preparation process, specially:
A certain amount of anode active material of lithium ion battery (cobalt acid lithium), conductive agent (carbon black), bonding agent (PVDF) are pressed It is fully dry grinded according to certain proportion, adds in a certain amount of NMP (N-Methyl pyrrolidone) and carry out wet-milling;
The slurry of milled is formed into the porous material coating that thickness is about 100 microns by scratching on aluminium foil;
Material is cut into 3mm × 3mm sizes, and carries out vapor deposition and leads gold;
The sample for plating good gold is placed in sample stage, and passes through scanning electron microscope device and determines detection zone.
The present embodiment is divided by three-dimensional microstructures reconstructing method by the use of elemental composition distribution as material solid phase constituent element Standard can form each component (conductive agent, bonding agent, active material etc.) of lithium ion battery porous electrode apparent draw Point, more accurate using the way of gray threshold than existing, the division of material component categories is more extensive;And material can be obtained Expect the distributed in three dimensions of ingredient, this is that current three-dimensional reconstruction method does not possess.
Embodiment three
Fig. 2 is a kind of material three-dimensional microstructure reconfiguration system structure chart in the present embodiment, as shown in Fig. 2, the present embodiment A kind of middle material three-dimensional microstructure reconfiguration system includes:
Focused ion beam apparatus 10, for being performed etching to detected materials, to obtain material section;
Scanning electron microscope device 20, for carrying out microstructure detection to the material section, to obtain section portion The micro-structure two-dimension picture of acquisition is added to micro-structure two-dimension picture sequence by the micro-structure two-dimension picture of position;
X-ray energy spectrum device 30, for the material section carry out Elemental redistribution detection, with obtain section position into The component distributing two-dimension picture of acquisition is added to component distributing two-dimension picture sequence by distribution two-dimension picture;
Image processing module 40, for according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, Obtain corresponding three-dimensional microstructures.
Described image processing module 40 is additionally operable to:
Judge whether micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity.
In the present embodiment, which further includes:
The progressive device 50 of section, for carrying out continuing sample introduction to detected materials, until the sample introduction distance of the detected materials Reach default sample introduction distance.
When the progressive device 50 of section continue sample introduction to detected materials, sample introduction direction is perpendicular to material section side To.
If image processing module 40 judges that micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default Quantity, then described image processing module 40 obtained according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence Take corresponding three-dimensional microstructures;
If described image processing module 40 judges the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence Not up to default quantity, then the progressive device 50 of section carries out detected materials to continue sample introduction, until the sample introduction of the detected materials After distance reaches default sample introduction distance, return and obtain material section step, by focused ion beam apparatus 10 again to detected materials It performs etching, to obtain new material section.
Described image processing module 40 is obtained according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence The corresponding three-dimensional microstructures are taken to be specially:
The micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
According to the component distributing two-dimension picture sequence, phase group is carried out to the solid skeletal in micro-structure two-dimension picture sequence Member division;
Micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
In the present embodiment, which further includes sample stage 60, for fixing detected materials, the progressive device 50 of section and sample Platform 60 is connected.
In the present embodiment, which further includes housing 70, for shielding to each device in system and module.
The material three-dimensional microstructure reconfiguration system that the present embodiment is provided, has the advantages that:
1) distributed in three dimensions of material composition can be obtained;
2) three-dimensional microstructures can be realized and obtained while component distributing in a section etches, avoided material and break Face it is secondarily etched;
3) standard divided as material solid phase constituent element is distributed by the use of elemental composition, than the way now with gray threshold More accurate, the division of material component categories is more extensive.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led The technical staff in domain can do various modifications or additions to described specific embodiment or replace in a similar way Generation, but without departing from spirit of the invention or beyond the scope of the appended claims.

Claims (10)

1. a kind of material three-dimensional microstructure reconstructing method, which is characterized in that including:
S1. detected materials are performed etching, to obtain material section;
S2. microstructure detection is carried out to the material section, to obtain the micro-structure two-dimension picture at section position, by acquisition Micro-structure two-dimension picture is added to micro-structure two-dimension picture sequence;
Elemental redistribution detection is carried out to the material section, to obtain the component distributing two-dimension picture at section position, by acquisition Component distributing two-dimension picture is added to component distributing two-dimension picture sequence;
S3. according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, corresponding three-dimensional microcosmic knot is obtained Structure.
2. material three-dimensional microstructure reconstructing method according to claim 1, which is characterized in that in step S2, further include: Judge whether the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity;
If reaching, step S3 is performed;
It is no that then detected materials not up to are carried out with lasting sample introduction, until the sample introduction distance of the detected materials reaches default sample introduction Distance, and return to step S1.
3. material three-dimensional microstructure reconstructing method according to claim 2, which is characterized in that detected materials are held During continuous sample introduction, sample introduction direction is perpendicular to material section direction.
4. material three-dimensional microstructure reconstructing method according to claim 1, which is characterized in that step S3 is specially:
Micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
According to component distributing two-dimension picture sequence, phase constituent element is carried out to the solid skeletal in the micro-structure two-dimension picture sequence and is drawn Point;
Micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
5. a kind of material three-dimensional microstructure reconfiguration system, which is characterized in that including:
Focused ion beam apparatus, for being performed etching to detected materials, to obtain material section;
Scanning electron microscope device, for carrying out microstructure detection to the material section, to obtain the micro- of section position The micro-structure two-dimension picture of acquisition is added to micro-structure two-dimension picture sequence by structure two-dimension picture;
X-ray energy spectrum device, for carrying out Elemental redistribution detection to the material section, to obtain the component distributing at section position The component distributing two-dimension picture of acquisition is added to component distributing two-dimension picture sequence by two-dimension picture;
Image processing module, for according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence, acquisition pair The three-dimensional microstructures answered.
6. material three-dimensional microstructure reconfiguration system according to claim 5, which is characterized in that described image processing module It is additionally operable to:
Judge whether micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity.
7. material three-dimensional microstructure reconfiguration system according to claim 5, which is characterized in that further include:
The progressive device of section, for carrying out continuing sample introduction to detected materials, until the sample introduction distance of the detected materials reaches pre- If sample introduction distance.
8. material three-dimensional microstructure reconfiguration system according to claim 7, which is characterized in that the progressive device of section When continue sample introduction to detected materials, sample introduction direction is perpendicular to material section direction.
9. the material three-dimensional microstructure reconfiguration system according to claim 6 or 7 or 8, which is characterized in that if image procossing Module judges that micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence reach default quantity, then described image processing mould Root tuber obtains corresponding three-dimensional microstructures according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence;
If described image processing module judges that the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence are not up to Default quantity, then the progressive device of section carries out detected materials to continue sample introduction, until the sample introduction distance of the detected materials reaches After default sample introduction distance, return and obtain material section step.
10. material three-dimensional microstructure reconfiguration system according to claim 5, which is characterized in that described image handles mould It is specific to obtain corresponding three-dimensional microstructures according to the micro-structure two-dimension picture sequence and component distributing two-dimension picture sequence for root tuber For:
The micro-structure two-dimension picture sequence is divided into solid skeletal and gap using gray threshold;
According to the component distributing two-dimension picture sequence, phase constituent element is carried out to the solid skeletal in micro-structure two-dimension picture sequence and is drawn Point;
Micro-structure two-dimension picture sequence is reconstructed into corresponding three-dimensional microstructures.
CN201711343453.4A 2017-12-15 2017-12-15 Method and system for reconstructing three-dimensional microstructure of material Expired - Fee Related CN108088864B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109596618A (en) * 2018-12-26 2019-04-09 太原理工大学 A kind of microcosmic heterogeneous structure three-dimensional modeling measurement method based on profiled outline sequence
CN109801375A (en) * 2019-01-24 2019-05-24 电子科技大学 Porous material three-dimensional reconstruction method based on depth convolution confrontation neural network
CN111583153A (en) * 2020-05-11 2020-08-25 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Three-dimensional reconstruction method for micro-nano structure of porous composite material

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030071213A1 (en) * 2001-09-27 2003-04-17 Takahiro Ikeda Fine pattern inspection apparatus, managing apparatus of CD-SEM device, fine pattern inspection method, managing method of CD-SEM device and program
CN101000296A (en) * 2006-12-20 2007-07-18 西北师范大学 Method of 3D reconstruction metallographic structure microproject based on digital image technology
CN101639947A (en) * 2009-08-26 2010-02-03 北京农业信息技术研究中心 Image-based plant three-dimensional shape measurement and reconstruction method and system
CN102768699A (en) * 2012-06-14 2012-11-07 西安交通大学 Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images
CN105548099A (en) * 2015-12-04 2016-05-04 西北大学 Cultural relic lossless three-dimensional imaging and component identification method based on two-photon excitation fluorescence
CN105590338A (en) * 2015-12-07 2016-05-18 中国科学院微电子研究所 Three-dimensional reconstruction method for image of scanning electron microscope
WO2017050303A1 (en) * 2015-09-22 2017-03-30 Tescan Brno, S.R.O. A method of analysis of materials by means of a focused electron beam using characteristic x-rays and back-scattered electrons

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030071213A1 (en) * 2001-09-27 2003-04-17 Takahiro Ikeda Fine pattern inspection apparatus, managing apparatus of CD-SEM device, fine pattern inspection method, managing method of CD-SEM device and program
CN101000296A (en) * 2006-12-20 2007-07-18 西北师范大学 Method of 3D reconstruction metallographic structure microproject based on digital image technology
CN101639947A (en) * 2009-08-26 2010-02-03 北京农业信息技术研究中心 Image-based plant three-dimensional shape measurement and reconstruction method and system
CN102768699A (en) * 2012-06-14 2012-11-07 西安交通大学 Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images
WO2017050303A1 (en) * 2015-09-22 2017-03-30 Tescan Brno, S.R.O. A method of analysis of materials by means of a focused electron beam using characteristic x-rays and back-scattered electrons
CN105548099A (en) * 2015-12-04 2016-05-04 西北大学 Cultural relic lossless three-dimensional imaging and component identification method based on two-photon excitation fluorescence
CN105590338A (en) * 2015-12-07 2016-05-18 中国科学院微电子研究所 Three-dimensional reconstruction method for image of scanning electron microscope

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ALI HASANABADI: "Efficient three-phase reconstruction of heterogeneous material from 2D cross-sections via phase-recovery algorithm", 《JOURNAL OFMICROSCOPY》 *
D. SAMAK等: "3D Reconstruction and Visualization of Microstructure Surfaces from 2D Images", 《ANNALS OF THE CIRP》 *
刘坤等: "三维重构技术在金属材料微观结构研究中的应用", 《材料导报》 *
赵秀阳等: "基于三维重构的材料微观结构研究现状", 《基于三维重构的材料微观结构研究现状 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109596618A (en) * 2018-12-26 2019-04-09 太原理工大学 A kind of microcosmic heterogeneous structure three-dimensional modeling measurement method based on profiled outline sequence
CN109596618B (en) * 2018-12-26 2021-02-26 太原理工大学 Three-dimensional modeling measurement method for micro multi-phase structure based on section profile sequence
CN109801375A (en) * 2019-01-24 2019-05-24 电子科技大学 Porous material three-dimensional reconstruction method based on depth convolution confrontation neural network
CN109801375B (en) * 2019-01-24 2021-02-09 电子科技大学 Three-dimensional reconstruction method of porous material based on deep convolution anti-neural network
CN111583153A (en) * 2020-05-11 2020-08-25 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Three-dimensional reconstruction method for micro-nano structure of porous composite material

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