[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-195330-105":53,"doc-detail-195330-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","multimodal-pathology-image-datasets","Multimodal Pathology Image Datasets","","This document provides a structured overview of various multimodal pathology image datasets, detailing their characteristics such as size, tissue types, staining methods, scanner types, and the availability of landmarking information. The datasets include ANHIR, ACROBAT, HyReCo, ASHLAR, Prostate Fused MRI-Pathology, and PLISM. Each dataset is described with its specific tissue samples, ranging from lung lesions and whole mouse lung lobes to various human tissues like breast, colon, and prostate. Staining techniques vary widely, encompassing standard Hematoxylin and Eosin (HE) alongside specialized markers like Cc10, proSPC, Ki67, CD31, c-erbB-2/HER-2-neu, ER, PR, cytokeratin, podocin, PGR, HER2, Hoechst 33342, Pan-CK, α-SMA, CD45, CD3, CD4, CD8a, FOXP3, Alexa Fluor 555 Azide, and BrDU. A diverse array of scanners are employed, including Zeiss Axio Imager M1, NanoZoomer series (2.0HT, S360, XR), 3DHistec Pannoramic MIDIII, Leica Biosystems Aperio AT2, and even consumer-grade smartphone cameras (iPhone, itel, Samsung Galaxy, Moto, Redmi). The presence of landmarking, crucial for aligning images, is noted for most datasets. The PLISM dataset stands out with its extensive collection of 46 different human tissues and a substantial number of Whole Slide Images (WSIs), processed under 13 different HE conditions and imaged with a broad spectrum of devices, indicating a significant resource for diverse pathology research.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/multimodal-pathology-image-datasets/195330/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/multimodal-pathology-image-datasets/195330.png","ImageObject",442,249,{"name":88,"@type":89},"Jordan Avery","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-21","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":73},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What types of tissues are included in the listed pathology datasets?","Question",{"text":108,"@type":109},"The datasets cover a wide range of tissue types, including lung lesions, whole mouse lung lobes, mammary glands, mice kidney, colon adenocarcinoma, gastric mucosa, human breast, human kidney, and prostate tissue, among 46 different human tissues in the PLISM dataset.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What are the common staining methods used in these pathology datasets?",{"text":113,"@type":109},"Common staining methods include Hematoxylin and Eosin (HE), as well as specialized markers like Cc10, proSPC, Ki67, CD31, c-erbB-2/HER-2-neu, ER, PR, cytokeratin, podocin, PGR, HER2, Hoechst 33342, Pan-CK, α-SMA, CD45, CD3, CD4, CD8a, FOXP3, Alexa Fluor 555 Azide, and BrDU.",{"name":115,"@type":106,"acceptedAnswer":116},"What variety of scanners were used to acquire these pathology images?",{"text":117,"@type":109},"The scanners used range from professional laboratory equipment such as Zeiss Axio Imager M1, NanoZoomer series, 3DHistec Pannoramic MIDIII, and Leica Biosystems Aperio AT2, to consumer-grade smartphone cameras including iPhone, itel, Samsung Galaxy, Moto, and Redmi.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},195330,1788447448,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":73,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":125,"read_time":140},1099523882367,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","| Dataset | Size | Tissue Type | Staining | Scanners | Lm |\n| --- | --- | --- | --- | --- | --- |\n| ANHIR [33] | 480 | Lung lesions, whole mice lung lobes, mammary glands, mice kidney, colon adenocarcinoma, gastric mucosa and\u003Cbr>adenocarcinoma, human breast, human kidney | HE, Cc10, proSPC, Ki67, CD31, c-erbB- 2/HER-2-neu, ER, PR, cytokeratin, podocin | Zeiss Axio Imager M1, NanoZoomer 2.0HT, 3DHistec Pannoramic MIDIII, Leica Biosystems Aperio AT2 | Yes |\n| ACROBAT [38] | 950 | Breast | HE, ER, PGR, HER2, KI67 | NanoZoomer S360,\u003Cbr>NanoZoomer XR | Yes |\n| HyReCo [48] Guiet & Chiaruttini [49] | 144\u003Cbr>2 | N/A\u003Cbr>Mouse duodenum | HE, CD8, CD45, Ki67, PHH3\u003Cbr>Alexa Fluor 555 Azide, primary rat anti BrDU and Harris hematoxylin | N/A\u003Cbr>N/A | Yes\u003Cbr>Yes |\n| ASHLAR [50, 51] | 2 | Human colon | Hoechst 33342, Pan-CK, α-SMA, CD45, CD31, CD3, CD4, CD8a, FOXP3 | N/A | No |\n| Prostate Fused\u003Cbr>MRI-Pathology [52] | 28 | Prostate | HE | Aperio | Yes |\n| PLISM [53] | 4454 sm,\u003Cbr>3417WSIs | 46 different human tissues | 13 HE conditions | AT2, GT450, S60,\u003Cbr>S210, S360, SQ, P,\u003Cbr>iPhone(6,13), itel,\u003Cbr>Samsung Galaxy, Moto, Redmi | Yes |","cbCait29v6hCcBEw","https://ap.wps.com/l/cbCait29v6hCcBEw","pdf",21159770,27,"English","# Multimodal Pathology Image Datasets\n## Dataset Characteristics","[{\"question\":\"What types of tissues are included in the listed pathology datasets?\",\"answer\":\"The datasets cover a wide range of tissue types, including lung lesions, whole mouse lung lobes, mammary glands, mice kidney, colon adenocarcinoma, gastric mucosa, human breast, human kidney, and prostate tissue, among 46 different human tissues in the PLISM dataset.\"},{\"question\":\"What are the common staining methods used in these pathology datasets?\",\"answer\":\"Common staining methods include Hematoxylin and Eosin (HE), as well as specialized markers like Cc10, proSPC, Ki67, CD31, c-erbB-2/HER-2-neu, ER, PR, cytokeratin, podocin, PGR, HER2, Hoechst 33342, Pan-CK, α-SMA, CD45, CD3, CD4, CD8a, FOXP3, Alexa Fluor 555 Azide, and BrDU.\"},{\"question\":\"What variety of scanners were used to acquire these pathology images?\",\"answer\":\"The scanners used range from professional laboratory equipment such as Zeiss Axio Imager M1, NanoZoomer series, 3DHistec Pannoramic MIDIII, and Leica Biosystems Aperio AT2, to consumer-grade smartphone cameras including iPhone, itel, Samsung Galaxy, Moto, and Redmi.\"}]","Multimodal Pathology Image Datasets | PDF",9]