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However, the function of Fe(II) in mammalian embryo development is unknown. In this study, we investigated the role of Fe(II) during preimplantation embryo development. Depletion of Fe(II) using thiosemicarbazone-24 (TSC24), a specific Fe(II) chelator, rescued quenching of the Fe(II)-sensitive fluorophore phen green-SK. After\u003Cjats:italic>in vitro\u003C\u002Fjats:italic>fertilization, TSC24 significantly reduced the cleavage rate as well as blastocyst formation. The hatch rate of blastocysts was also reduced with 1 pM TSC24 treatment (20.25±1.86 versus 42.28±12.96%,\u003Cjats:italic>p\u003C\u002Fjats:italic><0.05). Blastocysts were cultured in leukemia inhibitory factor-free mouse embryonic stem cell culture medium with or without TSC24, and those with depleted Fe(II) displayed delayed attachment and lost the ability to induce embryoid body formation. To further explore the mechanism of Fe(II) in embryo development, we assessed the expression of 5-hydroxymethylcytosine (5hmC) and OCT4 in the pronuclear and blastocyst stages, respectively. We observed that Fe(II) reduced 5hmC and OCT4 expression, which could be explained by low ten-eleven translocation (TET) enzyme activity induced by TSC24 treatment. 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In a recent search of EBSD papers using Google Scholar™, 60% were found to address some aspect of deformation. Generally, deformation manifests itself in EBSD measurements by small local misorientations. An increase in the local misorientation is often observed near grain boundaries in deformed microstructures. This may be indicative of dislocation pile-up at the boundaries but could also be due to a loss of orientation precision in the EBSD measurements. When the electron beam is positioned at or near a grain boundary, the diffraction volume contains the crystal lattices from the two grains separated by the boundary. Thus, the resulting pattern will contain contributions from both lattices. Such mixed patterns can pose some challenge to the EBSD pattern band detection and indexing algorithms. Through analysis of experimental local misorientation data and simulated pattern mixing, this work shows that some of the rise in local misorientation is an artifact due to the mixed patterns at the boundary but that the rise due to physical phenomena is also observed.\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>Phương pháp phân tán electron ngược (EBSD) đã trở thành kỹ thuật phổ biến để đo các hướng tinh thể với độ phân giải không gian trong khoảng hàng chục nanomet và độ phân giải góc <0.1°. Trong một cuộc khảo sát gần đây về các bài báo EBSD sử dụng Google Scholar™, 60% trong số đó được tìm thấy có đề cập đến một số khía cạnh của sự biến dạng. Thông thường, sự biến dạng thể hiện qua các phép đo EBSD bằng sự sai lệch địa phương nhỏ. Sự tăng lên trong sai lệch địa phương thường được quan sát thấy gần các ranh giới hạt trong các vi cấu trúc đã biến dạng. Điều này có thể chỉ ra sự tích tụ dislocation tại các ranh giới, nhưng cũng có thể do sự mất độ chính xác hướng trong các phép đo EBSD. Khi chùm tia electron được đặt tại hoặc gần một ranh giới hạt, khối lượng tán xạ chứa các mạng tinh thể từ hai hạt được tách biệt bởi ranh giới. Do đó, mẫu kết quả sẽ chứa những đóng góp từ cả hai mạng. Những mẫu hỗn hợp như vậy có thể đặt ra một số thách thức cho việc phát hiện và phân loại băng mẫu EBSD. Thông qua việc phân tích dữ liệu sai lệch địa phương trong thí nghiệm và mô phỏng trộn mẫu, công trình này cho thấy một phần sự gia tăng trong sai lệch địa phương là một hiện tượng giả do các mẫu hỗn hợp tại ranh giới nhưng sự gia tăng do các hiện tượng vật lý cũng được quan sát thấy.\u003C\u002Fjats:p>",{"EN":425,"VI":426},"Orientation Precision of Electron Backscatter Diffraction Measurements Near Grain Boundaries","Độ Chính Xác Hướng Đông của Các Thông Số Đo Lường Phản Xạ Điện Tử Gần Các Ranh Giới Hạt",{"VOID":428},"24576405",{"VOID":430},"10.1017\u002Fs143192761400035x",[136],[433],"VI","https:\u002F\u002Facademic.oup.com\u002Fmam\u002Farticle\u002F20\u002F3\u002F852\u002F6932271",[436,456,475,494],{"id":437,"sortIndex":102,"researcher":24,"roles":438,"affiliations":439,"properties":451},"85003ee8-668c-4405-b597-25ad1642ee34",[],[440],{"id":441,"sortIndex":25,"affiliation":442,"properties":24},"4d3a9d72-992e-4455-89f3-c99df6e14cc4",{"id":443,"createTime":444,"updateTime":445,"relativeEntities":446,"slug":447,"properties":448,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"08eb8fa9-914d-4a91-b02d-a72f00ce7ef1","2024-10-07T14:43:23.439+00:00","2025-06-11T21:53:29.865+00:00",[],"1EDAX-392-East-12300-South-Draper-UT-84020-USA-",{"title":449},{"EN":450},"1EDAX,392 East 12300 South,Draper,UT 84020,USA.",{"openalex":452,"title":454},{"VOID":453},"A5057039582",{"EN":455},"Matthew M. Nowell",{"id":457,"sortIndex":103,"researcher":24,"roles":458,"affiliations":459,"properties":470},"3ad20ea3-a41d-48c7-8447-57f435ac9096",[],[460],{"id":461,"sortIndex":25,"affiliation":462,"properties":24},"668d3a90-88a5-438e-81d5-4d77b9b8108c",{"id":463,"createTime":464,"updateTime":464,"relativeEntities":465,"slug":466,"properties":467,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"c1565b21-82e1-4aff-8653-21441c8a08d9","2024-10-07T14:43:23.468+00:00",[],"3TESCAN-USA-508-Thomson-Park-Drive-Cranberry-TWP-PA-16066-USA-",{"title":468},{"EN":469},"3TESCAN USA,508 Thomson Park Drive,Cranberry TWP,PA 16066,USA.",{"openalex":471,"title":473},{"VOID":472},"A5010480230",{"EN":474},"Lisa Chan",{"id":476,"sortIndex":57,"researcher":24,"roles":477,"affiliations":478,"properties":489},"de3adf82-726f-422a-9ade-c2d8cc047691",[],[479],{"id":480,"sortIndex":25,"affiliation":481,"properties":24},"7a09d59b-b972-4f61-a917-39224e3f0662",{"id":482,"createTime":483,"updateTime":483,"relativeEntities":484,"slug":485,"properties":486,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"381ebaca-34b0-4f0d-b42c-67bd1f408ff3","2024-10-07T14:43:23.458+00:00",[],"2EDAX-BV-Ringbaan-Noord-103-5046-AA-Tilburg-The-Netherlands-",{"title":487},{"EN":488},"2EDAX BV,Ringbaan Noord 103,5046 AA Tilburg,The Netherlands.",{"openalex":490,"title":492},{"VOID":491},"A5024276214",{"EN":493},"René de Kloe",{"id":495,"sortIndex":25,"researcher":24,"roles":496,"affiliations":497,"properties":504},"c4f626d5-d1ba-4fe9-9fa8-8924de88716b",[],[498],{"id":499,"sortIndex":25,"affiliation":500,"properties":24},"14ec7dbf-6f9f-4ece-b2b0-05ba9901e7b3",{"id":443,"createTime":444,"updateTime":445,"relativeEntities":501,"slug":447,"properties":502,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":503},{"EN":450},{"openalex":505,"orcid":507,"title":509},{"VOID":506},"A5088088163",{"VOID":508},"https:\u002F\u002Forcid.org\u002F0000-0002-7521-4447",{"EN":510},"Stuart I. 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(2010). A high resolution electron backscatter diffraction study of titanium and its alloys. PhD Thesis. Oxford, England: The University of Oxford.",{},{"id":24,"text":603,"url":24,"identifiers":604},"10.1179\u002F026708309X12506933873828",{"doi":603},{"id":24,"text":606,"url":24,"identifiers":607},"10.1016\u002FS0304-3991(96)00104-0",{"doi":606},{"id":24,"text":609,"url":24,"identifiers":610},"10.1007\u002FBF02675553",{"doi":609},{"id":24,"text":612,"url":24,"identifiers":613},"10.1016\u002Fj.actamat.2010.04.033",{"doi":612},{"id":24,"text":615,"url":24,"identifiers":616},"10.1016\u002Fj.scriptamat.2008.01.050",{"doi":615},{"id":24,"text":618,"url":24,"identifiers":619},"10.1016\u002Fj.ultramic.2004.11.012",{"doi":618},{"id":24,"text":621,"url":24,"identifiers":622},"10.1155\u002FTSM.20.41",{"doi":621},{"id":24,"text":624,"url":24,"identifiers":625},"10.1016\u002Fj.ijplas.2008.04.009",{"doi":624},{"id":24,"text":627,"url":24,"identifiers":628},"Wright, 2012, Angular precision of automated electron backscatter diffraction measurements, Mater Sci Forum, 702–703, 548",{},{"id":24,"text":630,"url":24,"identifiers":631},"10.1007\u002F978-1-4757-3205-4_13",{"doi":630},{"id":24,"text":633,"url":24,"identifiers":634},"10.1016\u002Fj.ijplas.2008.09.002",{"doi":633},{"id":636,"createTime":637,"updateTime":638,"relativeEntities":639,"slug":640,"properties":641,"entityType":132,"verifyStatus":133,"verifyTime":657,"verifyNote":134,"syncStatus":23,"languages":658,"translateLanguages":659,"viewCount":25,"primaryUrl":660,"fullTextUrl":24,"authors":661,"publicationType":269,"publisherRelationship":737,"citationCount":774,"citationInfo":775,"publishDate":778,"publishYear":779,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":780,"isForceReanalyzing":407},"cd83a7eb-45f6-4847-a4f2-c2a149b9234b","2024-09-19T23:53:18.971+00:00","2025-02-19T19:59:17.490+00:00",[],"Observing-the-Biofilm-Matrix-of-i-Staphylococcus-epidermidis-i-ATCC-35984-Grown-Using-the-CDC-Biofilm-Reactor",{"mag":642,"keywords":644,"openalex":645,"abstract":647,"title":650,"pm":653,"doi":655},{"VOID":643},"2114346779",{"VI":418},{"VOID":646},"W2114346779",{"EN":648,"VI":649},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Bacteria flourish in nearly every environment on earth. Contributing to their ability to grow in many esoteric locations is their development into a biofilm structure. In an effort to more accurately model the growth environment of biofilms in nature, a Center for Disease Control and Prevention (CDC) biofilm reactor has been developed that mimics nature-like shear forces and renewable nutrient sources. To date, there has been no confirmation by scanning electron microscopy (SEM) that mature biofilms develop on a surface when grown using the CDC biofilm reactor. Three different SEM methods were used to collect images of\u003Cjats:italic>Staphylococcus epidermidis\u003C\u002Fjats:italic>ATCC 35984 that was to be grown using the CDC biofilm reactor. In addition, two different fixative techniques were used in each of the imaging methods. Results indicated that after 48 hours of growth in the reactor,\u003Cjats:italic>S. epidermidis\u003C\u002Fjats:italic>ATCC 35984 does produce a significant network of matrix components and 3D mushroom- or pillar-like structures with signs of water channel development. In conclusion,\u003Cjats:italic>S. epidermidis\u003C\u002Fjats:italic>ATCC 35984 grown using the CDC biofilm reactor does appear to display signs of mature biofilm development. These results could be important for studies wherein mature biofilms are needed for\u003Cjats:italic>in vitro\u003C\u002Fjats:italic>and\u002For\u003Cjats:italic>in vivo\u003C\u002Fjats:italic>applications.\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>Vi khuẩn phát triển mạnh mẽ ở hầu hết mọi môi trường trên trái đất. Sự hình thành cấu trúc biofilm của chúng góp phần vào khả năng sinh trưởng trong nhiều vị trí độc đáo. Nhằm mô phỏng chính xác hơn môi trường phát triển của biofilm trong tự nhiên, một phản ứng sinh khối biofilm của Trung tâm Kiểm soát và Phòng ngừa Bệnh tật (CDC) đã được phát triển nhằm bắt chước lực cắt và nguồn dinh dưỡng tái sinh tương tự như trong tự nhiên. Đến nay, chưa có xác nhận nào từ kính hiển vi điện tử quét (SEM) cho thấy rằng biofilm trưởng thành phát triển trên bề mặt khi được nuôi cấy bằng phản ứng sinh khối biofilm CDC. Ba phương pháp SEM khác nhau đã được sử dụng để thu thập hình ảnh của \u003Cjats:italic>Staphylococcus epidermidis\u003C\u002Fjats:italic>ATCC 35984 dự kiến sẽ được nuôi cấy bằng phản ứng sinh khối CDC. Ngoài ra, hai kỹ thuật cố định khác nhau cũng được sử dụng trong mỗi phương pháp chụp hình. Kết quả cho thấy rằng sau 48 giờ phát triển trong phản ứng, \u003Cjats:italic>S. epidermidis\u003C\u002Fjats:italic>ATCC 35984 tạo ra một mạng lưới thành phần ma trận đáng kể và các cấu trúc hình nấm hoặc trụ 3D với dấu hiệu phát triển kênh nước. Kết luận là, \u003Cjats:italic>S. epidermidis\u003C\u002Fjats:italic>ATCC 35984 được nuôi cấy bằng phản ứng sinh khối CDC dường như thể hiện dấu hiệu của sự phát triển biofilm trưởng thành. Những kết quả này có thể quan trọng cho các nghiên cứu trong đó yêu cầu biofilm trưởng thành cho các ứng dụng \u003Cjats:italic>in vitro\u003C\u002Fjats:italic> và\u002Fhoặc \u003Cjats:italic>in vivo\u003C\u002Fjats:italic>.\u003C\u002Fjats:p>",{"EN":651,"VI":652},"Observing the Biofilm Matrix of\u003Ci>Staphylococcus epidermidis\u003C\u002Fi>ATCC 35984 Grown Using the CDC Biofilm Reactor","Quan sát ma trận biofilm của\u003Ci>Staphylococcus epidermidis\u003C\u002Fi>ATCC 35984 được nuôi cấy bằng phản ứng sinh khối biofilm CDC",{"VOID":654},"20205969",{"VOID":656},"10.1017\u002Fs143192760999136x","2024-09-19T23:53:18.970+00:00",[136],[433],"https:\u002F\u002Facademic.oup.com\u002Fmam\u002Farticle\u002F16\u002F2\u002F143\u002F6920219",[662,706],{"id":663,"sortIndex":25,"researcher":24,"roles":664,"affiliations":665,"properties":699},"17b78d6c-24ee-4056-98a4-6f4d2fea30cc",[],[666,678,688],{"id":667,"sortIndex":102,"affiliation":668,"properties":675},"5be73ed9-a884-40c9-ac3a-888c3091e300",{"id":669,"createTime":670,"updateTime":670,"relativeEntities":671,"slug":24,"properties":672,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"7586b307-ed16-482e-973c-822c67bc6874","2024-02-13T21:45:49.586+00:00",[],{"title":673},{"VI":674},"Department of Orthopaedics, University of Utah, Salt Lake City, UT 84108, United States",{"title":676},{"EN":677},"Department of Orthopaedics, University of Utah, Salt Lake City, UT 84108, USA",{"id":679,"sortIndex":57,"affiliation":680,"properties":24},"bcc3f79a-903d-4e82-bae3-e7fd3b644325",{"id":681,"createTime":682,"updateTime":682,"relativeEntities":683,"slug":684,"properties":685,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"59c7989f-d56c-4d76-928a-3eccd058a03a","2024-09-19T23:53:18.996+00:00",[],"Department-of-Veterans-Affairs-Salt-Lake-City-UT-84148-USA",{"title":686},{"EN":687},"Department of Veterans Affairs, Salt Lake City, UT 84148, USA",{"id":689,"sortIndex":25,"affiliation":690,"properties":24},"a04ed70d-74d4-4985-becf-318989e2d80b",{"id":691,"createTime":692,"updateTime":693,"relativeEntities":694,"slug":695,"properties":696,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"68e139ad-6e89-4daa-b1cd-f83118fa3896","2024-04-19T12:12:07.972+00:00","2025-02-09T11:17:23.436+00:00",[],"Department-of-Bioengineering-University-of-Utah-Salt-Lake-City-UT-84112-USA",{"title":697},{"EN":698},"Department of Bioengineering University of Utah Salt Lake City, UT 84112 USA",{"openalex":700,"orcid":702,"title":704},{"VOID":701},"A5007845601",{"VOID":703},"https:\u002F\u002Forcid.org\u002F0000-0001-5275-1365",{"EN":705},"Dustin L. 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(3D) analysis is an essential tool to obtain quantitative results from 3D datasets. Considerable progress has been made in 3D imaging techniques, resulting in a growing need for more flexible, complete analysis packages containing advanced algorithms. At the Centre for X-ray Tomography of the Ghent University (UGCT), research is being done on the improvement of both hardware and software for high-resolution X-ray computed tomography (CT). UGCT collaborates with research groups from different disciplines, each having specific needs. To meet these requirements the analysis software package, Morpho+, was developed in-house. Morpho+ contains an extensive set of high-performance 3D operations to obtain object segmentation, separation, and parameterization (orientation, maximum opening, equivalent diameter, sphericity, connectivity, etc.), or to extract a 3D geometrical representation (surface mesh or skeleton) for further modeling. These algorithms have a relatively short processing time when analyzing large datasets. Additionally, Morpho+ is equipped with an interactive and intuitive user interface in which the results are visualized. The package allows scientists from various fields to obtain the necessary quantitative results when applying high-resolution X-ray CT as a research tool to the nondestructive investigation of the microstructure of materials.\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>Phân tích ba chiều (3D) là một công cụ thiết yếu để thu được các kết quả định lượng từ các bộ dữ liệu 3D. Đã có những tiến bộ đáng kể trong các kỹ thuật hình ảnh 3D, dẫn đến nhu cầu ngày càng tăng về các gói phân tích linh hoạt hơn, đầy đủ hơn với các thuật toán tiên tiến. Tại Trung tâm Tomography X-ray của Đại học Ghent (UGCT), nghiên cứu đang được tiến hành để cải thiện cả phần cứng và phần mềm cho công nghệ cộng hưởng từ X-ray (CT) có độ phân giải cao. UGCT hợp tác với các nhóm nghiên cứu từ các lĩnh vực khác nhau, mỗi nhóm có nhu cầu cụ thể. Để đáp ứng các yêu cầu này, gói phần mềm phân tích Morpho+ đã được phát triển nội bộ. Morpho+ chứa một tập hợp rộng rãi các thao tác 3D hiệu suất cao để thu được phân đoạn đối tượng, tách rời và định tham số (hướng, độ mở tối đa, đường kính tương đương, hình cầu, kết nối, v.v.), hoặc để trích xuất một đại diện hình học 3D (lưới bề mặt hoặc khung xương) cho mô hình hóa tiếp theo. Các thuật toán này có thời gian xử lý tương đối ngắn khi phân tích các tập dữ liệu lớn. Ngoài ra, Morpho+ được trang bị một giao diện người dùng tương tác và trực quan, trong đó kết quả được hiển thị. Gói phần mềm cho phép các nhà khoa học từ các lĩnh vực khác nhau thu được các kết quả định lượng cần thiết khi áp dụng công nghệ CT X-ray có độ phân giải cao như một công cụ nghiên cứu để điều tra không phá hủy cấu trúc vi mô của các vật liệu.\u003C\u002Fjats:p>",{"EN":873,"VI":874},"Three-Dimensional Analysis of High-Resolution X-Ray Computed Tomography Data with Morpho+","Phân Tích Ba Chiều Dữ Liệu Tomography X-Ray Có Độ Phân Giải Cao Với 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Chúng tôi khám phá hai nhiệm vụ phân đoạn vi cấu trúc trong một bộ dữ liệu vi cấu trúc thép carbon siêu cao có sẵn công khai: phân đoạn các hạt cementite trong ma trận spheroidized, và phân đoạn các trường nhìn lớn hơn với các ranh giới hạt carbide, ma trận hạt đã spheroid hóa, vùng ranh giới hạt không có hạt, và cementite Widmanstätten. Chúng tôi cũng chứng minh cách kết hợp các mô hình phân đoạn vi cấu trúc dựa trên dữ liệu này để thu được các phân bố kích thước hạt cementite và chiều rộng vùng bị xóa thực nghiệm từ các hình ảnh vi phức tạp chứa nhiều vi yếu tố. 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Available at http:\u002F\u002Fdl.acm.org\u002Fcitation.cfm?id=3104322.3104425.",{},{"id":24,"text":1359,"url":24,"identifiers":1360},"10.1038\u002Fnature14539",{"doi":1359},{"id":24,"text":1362,"url":24,"identifiers":1363},"10.1038\u002Fs41598-018-20037-5",{"doi":1362},{"id":24,"text":1365,"url":24,"identifiers":1366},"10.1109\u002FCVPR.2015.7298965",{"doi":1365},{"id":24,"text":1368,"url":24,"identifiers":1369},"10.1016\u002FB978-0-08-051581-6.50024-6",{"doi":1368},{"id":24,"text":1371,"url":24,"identifiers":1372},"10.1016\u002Fj.actamat.2017.05.014",{"doi":1371},{"id":24,"text":1374,"url":24,"identifiers":1375},"10.1007\u002Fs40192-017-0097-0",{"doi":1374},{"id":24,"text":1377,"url":24,"identifiers":1378},"10.1016\u002Fj.commatsci.2015.08.011",{"doi":1377},{"id":24,"text":1380,"url":24,"identifiers":1381},"Loshchilov I & Hutter F (2017). Fixing weight decay regularization in adam, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1711.05101v2.",{},{"id":24,"text":1383,"url":24,"identifiers":1384},"10.1088\u002F0370-1301\u002F64\u002F9\u002F303",{"doi":1383},{"id":24,"text":1386,"url":24,"identifiers":1387},"Hariharan B , Arbelaez P , Girshick R & Malik J (2015). Hypercolumns for object segmentation and fine-grained localization. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).",{"doi":1388},"10.1109\u002FCVPR.2015.7298642",{"id":24,"text":1390,"url":24,"identifiers":1391},"10.1007\u002F978-0-387-21606-5",{"doi":1390},{"id":24,"text":1393,"url":24,"identifiers":1394},"Hecht MD , Decost BL , Francis T , Holm EA , Picard YN & Webler BA (2017 a). Ultrahigh carbon steel micrographs. Available at https:\u002F\u002Fhdl.handle.net\u002F11256\u002F940.",{},{"id":24,"text":1396,"url":24,"identifiers":1397},"10.1007\u002Fs11661-017-4012-2",{"doi":1396},{"id":24,"text":1399,"url":24,"identifiers":1400},"10.1016\u002Fj.matchar.2016.04.012",{"doi":1399},{"id":24,"text":1402,"url":24,"identifiers":1403},"Kingma DP & Ba J (2014). Adam: A method for stochastic optimization, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1412.6980v9.",{},{"id":24,"text":1405,"url":24,"identifiers":1406},"Lin TY , Goyal P , Girshick R , He K & Dollár P (2017). Focal loss for dense object detection, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1708.02002v2.",{},{"id":24,"text":1408,"url":24,"identifiers":1409},"Lubbers N , Lookman T & Barros K (2016). Inferring low-dimensional microstructure representations using convolutional neural networks, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1611.02764v1.",{},{"id":24,"text":1411,"url":24,"identifiers":1412},"10.1080\u002F01621459.1951.10500769",{"doi":1411},{"id":24,"text":1172,"url":24,"identifiers":1414},{"doi":1172},{"id":24,"text":1416,"url":24,"identifiers":1417},"Pedregosa, 2011, Scikit-learn: Machine learning in python, The Journal of Machine Learning Research, 12, 2825",{},{"id":24,"text":1419,"url":24,"identifiers":1420},"10.1007\u002Fs11263-015-0816-y",{"doi":1419},{"id":24,"text":1422,"url":24,"identifiers":1423},"Simonyan K & Zisserman A (2014). Very deep convolutional networks for large-scale image recognition, CoRR abs\u002F1409.1556. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1409.1556.",{},{"id":24,"text":1425,"url":24,"identifiers":1426},"Srivastava, 2014, Dropout: a simple way to prevent neural networks from overfitting, J Mach Learn Res, 15, 1929",{},{"id":24,"text":1428,"url":24,"identifiers":1429},"10.7717\u002Fpeerj.453",{"doi":1428},{"id":24,"text":1431,"url":24,"identifiers":1432},"10.1016\u002Fj.commatsci.2016.05.034",{"doi":1431},{"id":24,"text":1434,"url":24,"identifiers":1435},"Ioffe, 2015, Proceedings of the 32nd International Conference on Machine Learning, Proceedings of Machine Learning Research, 37, 448",{},{"id":24,"text":1437,"url":24,"identifiers":1438},"Decost BL , Hecht MD , Sibley T , Francis T , Webler BA , Picard Y & Holm EA (2018). Ultrahigh carbon steel micrographs: Microconstituent annotations. Available at https:\u002F\u002Fhdl.handle.net\u002F11256\u002F964.",{},{"id":24,"text":1440,"url":24,"identifiers":1441},"Bansal A , Russell B & Gupta A (2016). Marr revisited: 2d–3d alignment via surface normal prediction. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5965–5974.",{"doi":1442},"10.1109\u002FCVPR.2016.642",{"id":24,"text":1444,"url":24,"identifiers":1445},"Kendall A , Badrinarayanan V & Cipolla R (2015). Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1511.02680v2.",{},{"id":24,"text":1447,"url":24,"identifiers":1448},"10.1007\u002Fs11548-013-0840-8",{"doi":1447},{"id":24,"text":1450,"url":24,"identifiers":1451},"Wang P , Chen P , Yuan Y , Liu D , Huang Z , Hou X & Cottrell G (2017). Understanding convolution for semantic segmentation, CoRR. Available at http:\u002F\u002Farxiv.org\u002Fabs\u002F1702.08502v1.",{},{"id":1453,"createTime":1454,"updateTime":1455,"relativeEntities":1456,"slug":1457,"properties":1458,"entityType":132,"verifyStatus":23,"verifyTime":1454,"verifyNote":1474,"syncStatus":23,"languages":1475,"translateLanguages":1476,"viewCount":25,"primaryUrl":1477,"fullTextUrl":24,"authors":1478,"publicationType":269,"publisherRelationship":1536,"citationCount":1574,"citationInfo":1575,"publishDate":1586,"publishYear":1587,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":1588,"isForceReanalyzing":407},"a081a7a2-b27a-4419-ae2c-c383be2622a7","2024-09-05T04:57:17.268+00:00","2025-02-19T19:56:19.843+00:00",[],"Analysis-of-Three-dimensional-Atom-probe-Data-by-the-Proximity-Histogram",{"mag":1459,"keywords":1461,"openalex":1462,"abstract":1464,"title":1467,"pm":1470,"doi":1472},{"VOID":1460},"1688365984",{"VI":418},{"VOID":1463},"W1688365984",{"EN":1465,"VI":1466},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\n                    \u003Cjats:p>The three-dimensional (3D) atom-probe technique produces a\n                        reconstruction of the elemental chemical identities and three-dimensional\n                        positions of atoms field evaporated from a sharply pointed metal specimen,\n                        with a local radius of curvature of less than 50 nm. The number of atoms\n                        collected can be on the order of one million, representing an analysis\n                        volume of approximately 20 nm × 20 nm × 200 nm (80,000\n                            nm\u003Cjats:sup>3\u003C\u002Fjats:sup>). This large amount of data allows for the\n                        identification of microstructural features in a sample, such as grain or\n                        heterophase boundaries, if the feature density is large enough. Correlation\n                        of the measured atomic positions with these identified features results in\n                        an atom-by-atom description of the chemical environment of crystallographic\n                        defects. This article outlines a data compilation technique for the\n                        generation of composition profiles in the vicinity of interfaces in a\n                        geometrically independent way. This approach is applied to quantitative\n                        determination of interfacial segregation of silver at a MgO\u002FCu(Ag)\n                        heterophase interface.\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\n                    \u003Cjats:p>Kỹ thuật cảm biến atô ba chiều (3D) tạo ra một tái cấu trúc về bản chất hóa học nguyên tố và vị trí ba chiều của các nguyên tử bị bay hơi từ một mẫu kim loại nhọn, với bán kính cong cục bộ nhỏ hơn 50 nm. Số lượng nguyên tử thu được có thể lên đến khoảng một triệu, đại diện cho một thể tích phân tích khoảng 20 nm × 20 nm × 200 nm (80.000 nm\u003Cjats:sup>3\u003C\u002Fjats:sup>). Khối lượng dữ liệu lớn này cho phép xác định các đặc điểm vi cấu trúc trong mẫu, chẳng hạn như ranh giới hạt hoặc ranh giới pha hỗn hợp, nếu mật độ đặc điểm đủ lớn. Sự tương quan giữa vị trí nguyên tử đã đo và những đặc điểm được xác định dẫn đến mô tả từng nguyên tử về môi trường hóa học của các khuyết tật tinh thể. Bài báo này phác thảo một kỹ thuật tổng hợp dữ liệu để tạo ra các hồ sơ thành phần xung quanh các giao diện một cách độc lập về hình học. Cách tiếp cận này được áp dụng để xác định định lượng việc phân tách bề mặt của bạc tại giao diện pha hỗn hợp MgO\u002FCu(Ag).",{"EN":1468,"VI":1469},"Analysis of Three-dimensional Atom-probe Data by the Proximity\n                        Histogram","Phân tích Dữ liệu Proximity Histogram từ Cảm biến Atô Ba Chiều",{"VOID":1471},"11003678",{"VOID":1473},"10.1007\u002Fs100050010051","Author affiliation is blank",[136],[433],"https:\u002F\u002Facademic.oup.com\u002Fmam\u002Farticle\u002F6\u002F5\u002F437\u002F6905679",[1479,1488,1497,1506,1517],{"id":1480,"sortIndex":46,"researcher":24,"roles":1481,"affiliations":1482,"properties":1483},"80f572e2-2054-449e-96ec-302b079c23d9",[],[],{"openalex":1484,"title":1486},{"VOID":1485},"A5025813409",{"EN":1487},"D. N. Seidman",{"id":1489,"sortIndex":102,"researcher":24,"roles":1490,"affiliations":1491,"properties":1492},"0c3f3431-5669-4ba4-9095-7401d597902b",[],[],{"openalex":1493,"title":1495},{"VOID":1494},"A5105985632",{"EN":1496},"JA Vandenbroucke",{"id":1498,"sortIndex":57,"researcher":24,"roles":1499,"affiliations":1500,"properties":1501},"e7cd8492-883c-4758-8a69-071471e905bb",[],[],{"openalex":1502,"title":1504},{"VOID":1503},"A5009335606",{"EN":1505},"J. Rüsing",{"id":1507,"sortIndex":103,"researcher":24,"roles":1508,"affiliations":1509,"properties":1510},"f33431dd-02ab-4390-9061-9ea4f970bf83",[],[],{"openalex":1511,"orcid":1513,"title":1515},{"VOID":1512},"A5077439351",{"VOID":1514},"https:\u002F\u002Forcid.org\u002F0000-0003-3310-8192",{"EN":1516},"Dieter Isheim",{"id":1518,"sortIndex":25,"researcher":24,"roles":1519,"affiliations":1520,"properties":1531},"b0973763-6906-4106-a6e3-4866e232cd49",[],[1521],{"id":1522,"sortIndex":25,"affiliation":1523,"properties":24},"13e75d43-9ed4-482b-bfd1-273406922d3f",{"id":1524,"createTime":1525,"updateTime":1525,"relativeEntities":1526,"slug":1527,"properties":1528,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"3f231f66-5996-47d3-832a-305637d5c36d","2024-09-05T04:57:17.306+00:00",[],"Department-of-Materials-Science-and-Engineering-Northwestern-University-2225-N-Campus-Drive-Evanston-IL-60208-3108",{"title":1529},{"EN":1530},"Department of Materials Science and Engineering, Northwestern University, 2225 N. Campus Drive, Evanston, IL 60208-3108",{"openalex":1532,"title":1534},{"VOID":1533},"A5007621237",{"EN":1535},"Olof C. Hellman",{"url":24,"publisher":1537,"properties":1567},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1538,"slug":10,"properties":1539,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":1545,"manageAffiliations":1546,"indexDatabases":1547,"url":99,"thumbnailPath":24,"statistic":1562,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":1540,"issn":1541,"introduce":1542,"eissn":1543,"title":1544},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[1548,1555],{"id":61,"indexDatabase":1549,"url":76,"indexYears":24,"academicFieldIds":1554,"indexDatabaseRanking":24},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":1550,"label":1551,"description":1552,"key":72,"publicationTags":1553,"standard":24},[],{"EN":68,"VI":68},{"VI":70,"EN":71},[74,75],[78,79],{"id":81,"indexDatabase":1556,"url":94,"indexYears":95,"academicFieldIds":1561,"indexDatabaseRanking":98},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":1557,"label":1558,"description":1559,"key":91,"publicationTags":1560,"standard":24},[],{"EN":88,"VI":88},{"EN":88,"VI":90},[93],[97],{"impactFactor":25,"impactFactorByYear":1563,"i10Index":102,"i10IndexLast5Year":25,"totalPublication":103,"totalPublicationByYear":1564,"totalCitation":105,"totalCitationByYear":1565,"totalCitationPerPublication":107,"totalCitationPerPublicationByYear":1566,"hindexLast5Year":102,"hindex":102},{},{"1998":102,"2014":57},{"1998":105},{"1998":105},{"volume":1568,"pages":1570,"issue":1572},{"VOID":1569},"6",{"VOID":1571},"437-444",{"VOID":1573},"05",746,{"total":1574,"publishYear":24,"statisticByYear":1576},{"2012":1577,"2013":1578,"2014":1579,"2015":1577,"2016":1580,"2017":1581,"2018":1582,"2019":1583,"2020":1584,"2021":1582,"2022":1584,"2023":1585,"2024":1057},42,46,49,51,52,55,56,47,31,"2000-09-01",2000,[],{"id":1590,"createTime":1591,"updateTime":1592,"relativeEntities":1593,"slug":1594,"properties":1595,"entityType":132,"verifyStatus":133,"verifyTime":1591,"verifyNote":134,"syncStatus":23,"languages":1612,"translateLanguages":1613,"viewCount":25,"primaryUrl":1614,"fullTextUrl":24,"authors":1615,"publicationType":269,"publisherRelationship":1672,"citationCount":1708,"citationInfo":1709,"publishDate":1722,"publishYear":1059,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":1723,"isForceReanalyzing":407},"82ae3beb-4b7f-4891-a9cf-ba4ec1a010d6","2024-09-30T10:47:41.298+00:00","2025-02-19T19:55:22.467+00:00",[],"A-Review-of-Strain-Analysis-Using-Electron-Backscatter-Diffraction",{"mag":1596,"keywords":1598,"openalex":1600,"abstract":1602,"title":1605,"pm":1608,"doi":1610},{"VOID":1597},"2153077083",{"VI":1599},"khuếch tán ngược điện tử, phân tích biến dạng, cấu trúc vi mô, khoa học vật liệu, địa chất",{"VOID":1601},"W2153077083",{"EN":1603,"VI":1604},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Since the automation of the electron backscatter diffraction (EBSD) technique, EBSD systems have become commonplace in microscopy facilities within materials science and geology research laboratories around the world. The acceptance of the technique is primarily due to the capability of EBSD to aid the research scientist in understanding the crystallographic aspects of microstructure. There has been considerable interest in using EBSD to quantify strain at the submicron scale. To apply EBSD to the characterization of strain, it is important to understand what is practically possible and the underlying assumptions and limitations. This work reviews the current state of technology in terms of strain analysis using EBSD. First, the effects of both elastic and plastic strain on individual EBSD patterns will be considered. Second, the use of EBSD maps for characterizing plastic strain will be explored. Both the potential of the technique and its limitations will be discussed along with the sensitivity of various calculation and mapping parameters.\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>Kể từ khi kỹ thuật khuếch tán ngược điện tử (EBSD) được tự động hóa, các hệ thống EBSD đã trở nên phổ biến trong các cơ sở hiển vi thuộc các phòng thí nghiệm nghiên cứu khoa học vật liệu và địa chất trên toàn thế giới. Sự chấp nhận của kỹ thuật này chủ yếu là nhờ khả năng của EBSD trong việc hỗ trợ các nhà nghiên cứu hiểu biết về các khía cạnh tinh thể học của cấu trúc vi mô. Đã có sự quan tâm đáng kể trong việc sử dụng EBSD để định lượng biến dạng ở quy mô dưới vi mô. Để áp dụng EBSD cho việc đặc trưng hóa biến dạng, điều quan trọng là phải hiểu những gì có thể thực hiện trong thực tế cùng với các giả định và hạn chế cơ bản. Công trình này xem xét tình trạng hiện tại của công nghệ liên quan đến phân tích biến dạng sử dụng EBSD. Đầu tiên, các tác động của cả biến dạng đàn hồi và biến dạng dẻo lên các mẫu EBSD riêng lẻ sẽ được xem xét. Thứ hai, việc sử dụng bản đồ EBSD để đặc trưng hóa biến dạng dẻo sẽ được khám phá. 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