[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-664714-105":59,"doc-detail-664714-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","particle-characterisation-how-to-perform-fully-automated-static-image-analysis-simply-and-accurately","Particle Characterisation - How to Perform Fully Automated Static Image Analysis Simply and Accurately","","Particle characterisation explains how fully automated static image analysis delivers superior information content and accuracy compared with conventional particle sizing approaches. It contrasts static and dynamic image analysis, describing static workflows for precise size and shape measurements using CAMSIZER M1’s focus-plane determination, multi-lens coverage, and automatic evaluation with Particle X-Plorer. Practical performance is demonstrated through pharmaceutical powders, polymers, metal powders, and synthetic diamonds, including distribution and shape parameters such as aspect ratio and roundness.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/particle-characterisation-how-to-perform-fully-automated-static-image-analysis-simply-and-accurately/664714/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/particle-characterisation-how-to-perform-fully-automated-static-image-analysis-simply-and-accurately/664714.png","ImageObject",300,407,{"name":92,"@type":93},"FajarTechTalk","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-29",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the difference between static and dynamic image analysis in particle characterisation?","Question",{"text":112,"@type":113},"Static image analysis focuses on high-resolution particle images for precise size and shape characterisation, often for narrow size distributions. Dynamic image analysis is suited for routine bulk solid analysis and provides high throughput with low error susceptibility.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the CAMSIZER M1 determine particle size and shape during measurement?",{"text":117,"@type":113},"It uses static image analysis, with objective lenses covering different size ranges for an overall 0.5 µm to 1500 µm range. Before measurement, it determines the focal plane so particle images in the selected area are pin-sharp, and it stores image and measurement data for later evaluation.",{"name":119,"@type":110,"acceptedAnswer":120},"Which particle parameters can be extracted using the CAMSIZER M1 software?",{"text":121,"@type":113},"The software enables evaluation of individual images and visualisation of single-particle results. It can output particle width, particle length, circle-equivalent diameter, and shape parameters such as roundness.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},664714,1793268638,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":24},962094249465,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Particle Characterisation  \nHow to perform fully automated static image analysis simply and accurately  \nKai Dueffels, Retsch Technology GmbH, [technology@retsch.com](technology@retsch.com)  \nImaging techniques are superior to traditional particle analysis methods in terms of information content and accuracy. Depending on the application, the particle size distribution can be based on the most appropriate size definition such as length, width, circle-equivalent diameter, stretched length, etc. In addition, only image analysis can determine and quantitatively describe important shape parameters like aspect ratio, circularity, or roundness. The laser diffraction technique only providesan equivalent diameter relative to a sphere model; in analytical sieving, the resolution of the distribution is limited to the sieves available, and the method is not reasonably applicable for samples in the lower micrometer range.  \nWhat is static and dynamic image analysis?  \nIn particle characterisation, a distinction is made between static and dynamic image analysis. Dynamic image analysis is ideal for the routine analysis of bulk solids. Thanks to high sample throughput and low susceptibility to errors, this method is a great alternative to conventional sieve analysis.  \nStatic image analysis is more likely to be used for narrow size distributions, with a focus on the precise characterisation of mostly fine particles. This method acquires high-resolution particle images which allow for size and shape measurement with highest accuracy. Static image analysis is based on a microscopic procedure in which a slide is photographed step by step and the particle images are evaluated automatically. With the CAMSIZER M1 Retsch Technology introduces a new analyser which is based on this principle.  \nHow does the new CAMSIZER M1 work?  \nThe CAMSIZER M1 (Figure 1) uses the principle of static image analysis to determine the particle size and particle shape. The five different objective lenses of the analyser cover different size ranges so that an overall measuring range of 0.5 µm to 1500 µm is achieved. At the start of each measurement, the particle size / particle shape analyser CAMSIZER M1 determines the focal plane for the measurement area which ensures that all particle images in the selected area are pin-sharp (tilt compensation) . All image data and measurement data are stored during analysis, providing manifold possibilities for subsequent data evaluation with the Particle X-Plorer software module. When the measurement is finished, an overview image gives the user a good idea of the particle quality. Particles stretching over more than one measurement field can be pieced together by using the innovative stitching algorithm and may thus be evaluated although their size is larger than 1500 microns.  \nFigure 1. CAMSIZER M1 with dry dispersion unit M-Jet.  \nTechnical Features  \n• 18 Megapixel colour camera  \n• Five objective lenses: 2. 5x, 5x, 10x, 20x, 50x  \n• Illumination: transmitted light / reflected light  \n• Large sample stage (up to 8 standard slides)  \n• High-performance dispersion module M-Jet  \nApplication Example: Paracetamol  \nStatic image analysis is ideal for the characterisation of fine pharmaceutical ingredients and excipients.  \nThe CAMSIZER M1 software allows the evaluation of individual images and clear visualisation of single particle images. The distribution of the particle width, particle length and the circle-equivalent diameter can be put out separately.  \nFigure 2. Analysis of paracetamol with the CAMSIZER M1. Upper left: image acquired at 10 x magnification, transmitted light. Upper right: Particles in the image are recognized and all relevant size and shape parameters are displayed. Clear and comprehensive graphical representation of the size distribution (lower left diagram) and the particle shape (lower right diagram). Measuring time: 9 minutes, number of images: 1600, number of particles: 120 000.  \nParticle Characterisation","cbCair45yo37R7FP","https://ap.wps.com/l/cbCair45yo37R7FP","pdf",1158386,"English","# What is static and dynamic image analysis?\n# How does the new CAMSIZER M1 work?\n# Technical Features\n# Application Example: Paracetamol\n# Application Example: Polymers\n# Application example: Metal powders\n# Application example: Synthetic diamond","[{\"question\":\"What is the difference between static and dynamic image analysis in particle characterisation?\",\"answer\":\"Static image analysis focuses on high-resolution particle images for precise size and shape characterisation, often for narrow size distributions. Dynamic image analysis is suited for routine bulk solid analysis and provides high throughput with low error susceptibility.\"},{\"question\":\"How does the CAMSIZER M1 determine particle size and shape during measurement?\",\"answer\":\"It uses static image analysis, with objective lenses covering different size ranges for an overall 0.5 µm to 1500 µm range. Before measurement, it determines the focal plane so particle images in the selected area are pin-sharp, and it stores image and measurement data for later evaluation.\"},{\"question\":\"Which particle parameters can be extracted using the CAMSIZER M1 software?\",\"answer\":\"The software enables evaluation of individual images and visualisation of single-particle results. It can output particle width, particle length, circle-equivalent diameter, and shape parameters such as roundness.\"}]","Particle Characterisation - How to Perform Fully Automated Static Image Analysis Simply and Accurately | PDF"]