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Hegman gauge analyser","Objectively determine particle size in your dispersions with an automated Hegman gauge analyser.\n\nThe best particle size measurement method for paints and coatings.\n\nTIDAS combines light scattering techniques with analysis software to objectively identify results.",{"data":592},{"id":593,"attributes":594},1406,{"name":595,"alternativeText":596,"caption":11,"width":597,"height":598,"formats":599,"hash":610,"ext":94,"mime":96,"size":611,"url":607,"previewUrl":11,"provider":26,"provider_metadata":612,"createdAt":616,"updatedAt":617},"Labman TIDAS Hegman gauge analyser 2.png","A Labman TIDAS metal box with the tidas logo on the front of a dark matt black metal cover in the background is a computer showing a 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Following Labman’s recent Tough Mudder challenge, a group of our volunteers visited Zoe’s Place in Middlesbrough to see first-hand where their fundraising efforts can make a difference. \n",{"data":669},{"id":670,"attributes":671},4419,{"name":672,"alternativeText":673,"caption":11,"width":674,"height":675,"formats":676,"hash":687,"ext":44,"mime":46,"size":688,"url":684,"previewUrl":11,"provider":26,"provider_metadata":689,"createdAt":693,"updatedAt":694},"Zoe's Place 09.jpg","Labman visit Zoe's Place",2400,1601,{"large":677,"small":679,"medium":681,"public":683,"extrasmall":685},{"ext":44,"url":678,"mime":46},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00/large",{"ext":44,"url":680,"mime":46},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00/small",{"ext":44,"url":682,"mime":46},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00/medium",{"ext":44,"url":684,"mime":46},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00/public",{"ext":44,"url":686,"mime":46},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00/extrasmall","Zoe_s_Place_09_e699ac8dca",1899.5,{"variants":690,"public_id":691,"variant_url":692,"resource_type":61},[680,684,686,682,678],"38645d83-566e-457a-7597-554a7caa8a00","https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/38645d83-566e-457a-7597-554a7caa8a00","2026-09-23T10:34:29.580Z","2026-09-23T10:35:50.274Z",[696],{"id":697,"name":658},393,{"id":364,"attributes":699},{"postedon":700,"readtime":128,"slug":701,"createdAt":702,"updatedAt":703,"publishedAt":704,"postedby":705,"header":737,"article":742,"categories":829,"seo":830},"2026-06-26","lab-automation-complexity","2026-07-08T13:50:57.242Z","2026-10-07T08:26:37.652Z","2026-07-08T13:51:11.918Z",{"data":706},{"id":707,"attributes":708},8,{"name":709,"role":710,"createdAt":711,"updatedAt":712,"image":713},"George 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Lead","2026-02-24T09:20:28.068Z","2026-08-05T10:47:17.745Z",{"data":714},{"id":715,"attributes":716},4011,{"name":709,"alternativeText":709,"caption":11,"width":717,"height":717,"formats":718,"hash":729,"ext":94,"mime":96,"size":730,"url":726,"previewUrl":11,"provider":26,"provider_metadata":731,"createdAt":735,"updatedAt":736},1280,{"large":719,"small":721,"medium":723,"public":725,"extrasmall":727},{"ext":94,"url":720,"mime":96},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00/large",{"ext":94,"url":722,"mime":96},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00/small",{"ext":94,"url":724,"mime":96},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00/medium",{"ext":94,"url":726,"mime":96},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00/public",{"ext":94,"url":728,"mime":96},"https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00/extrasmall","Image_15_Photoroom_2_1_fbdcc04f93",1912.51,{"variants":732,"public_id":733,"variant_url":734,"resource_type":111},[728,722,724,720,726],"3f4d8711-aa15-411f-bd26-a70b5e164c00","https://imagedelivery.net/3h7wFjnSc1jcCITlqfjLww/3f4d8711-aa15-411f-bd26-a70b5e164c00","2026-02-24T09:20:11.373Z","2026-02-24T09:20:25.850Z",{"id":738,"title":739,"subheading":740,"image":741},2203,"How can complexity be managed in lab automation projects?","Complexity is reduced through clear planning, phased delivery, stakeholder alignment and effective project management.",{"data":11},[743,748,752,756,759,763,766,770,773,777,780,784,787,791,794,798,801,805,808,812,815,819,822,826],{"id":744,"__component":745,"title":746,"subheading":11,"image":747},732,"page-content.heading","Are laboratory automation projects disruptive to internal teams?",{"data":11},{"id":749,"__component":750,"content":751},3300,"page-content.paragraph","Automation projects can introduce change, particularly in R&D environments where workflows, roles, and processes are evolving.\nHowever, disruption is not an inherent outcome, it depends on how the project is managed.\n\nWith the right structure, automation projects can be delivered in a way that:\n\n•\tMinimises day-to-day disruption\n•\tAligns with existing team workflows\n•\tSupports gradual adoption rather than sudden change\n\nThe focus is not just on delivering a system, but on ensuring that teams are supported throughout the transition.\n",{"id":753,"__component":745,"title":754,"subheading":11,"image":755},733,"Why are automation projects sometimes seen as complex or demanding?",{"data":11},{"id":757,"__component":750,"content":758},3301,"Laboratory automation projects often reflect the complexity of the environments they serve.\n\nCommon factors include:\n\n•\tEvolving R&D workflows and priorities\n•\tMultiple stakeholders (scientists, IT, QA, operations)\n•\tIntegration with existing systems and data infrastructure\n•\tHigh variability in samples, methods, or processes\n\nIn dynamic or unstable environments, requirements may change during the project, which can increase pressure on both internal teams and implementation partners.\n",{"id":760,"__component":745,"title":761,"subheading":11,"image":762},734,"How does Labman manage complexity during projects?",{"data":11},{"id":764,"__component":750,"content":765},3302,"Labman approaches projects as structured, collaborative programmes rather than fixed deliveries.\n\nKey practices include:\n\n•\tPhased delivery models that break projects into manageable stages\n•\tEarly definition of realistic scope, timelines, and internal commitments\n•\tContinuous alignment with stakeholders across R&D, IT, and QA\n•\tTransparent communication around risks, changes, and decisions\n\nThis structured approach reduces uncertainty and allows teams to adapt without losing control of the project.\n",{"id":767,"__component":745,"title":768,"subheading":11,"image":769},735,"What is ‘implementation kindness’?",{"data":11},{"id":771,"__component":750,"content":772},3303,"‘Implementation kindness’ reflects an approach where project delivery is designed around the needs and capacity of the client team.\n\nIn practice, this includes:\n\n•\tDesigning systems that align with existing workflows where possible\n•\tAvoiding unnecessary disruption to ongoing work\n•\tSetting clear expectations about required internal input\n•\tSupporting users through training, testing, and early adoption\n\nThe goal is to ensure that teams feel supported, not overwhelmed, throughout the project lifecycle.\n",{"id":774,"__component":745,"title":775,"subheading":11,"image":776},736,"How does Labman reduce risk during automation projects?",{"data":11},{"id":778,"__component":750,"content":779},3304,"Risk reduction is built into the delivery process through several mechanisms:\n\n•\tSimulation and offline testing before deployment\n•\tControlled pilot phases to validate workflows in real conditions\n•\tStructured change control processes to manage evolving requirements\n•\tIncremental commissioning rather than “all-at-once” deployment\n\nThese approaches allow issues to be identified and resolved early, reducing downstream disruption.\n",{"id":781,"__component":745,"title":782,"subheading":11,"image":783},737,"What happens if project requirements change?",{"data":11},{"id":785,"__component":750,"content":786},3305,"Change is common in R&D led environments and is expected in many automation projects.\n\nTo manage this, projects typically include:\n\n•\tDefined change-control frameworks\n•\tClear assessment of the impact of changes on timeline, cost, and scope\n•\tCollaborative decision-making between stakeholders\n\nThis ensures that changes are handled deliberately, rather than reactively.\n",{"id":788,"__component":745,"title":789,"subheading":11,"image":790},738,"What level of internal involvement is required?",{"data":11},{"id":792,"__component":750,"content":793},3306,"Successful projects require active participation from client teams, particularly in:\n\n•\tDefining workflows and requirements\n•\tTesting and validating system performance\n•\tSupporting integration with existing systems\n•\tProviding feedback during development phases\n\nSetting realistic expectations early helps ensure that internal teams are properly resourced and prepared.\n",{"id":795,"__component":745,"title":796,"subheading":11,"image":797},739,"How does Labman support client teams during implementation?",{"data":11},{"id":799,"__component":750,"content":800},3307,"Support is provided throughout the project lifecycle, including:\n\n•\tRegular project reviews and progress updates\n•\tAccess to technical teams for problem-solving and iteration\n•\tStructured user training and knowledge transfer\n•\tDevelopment of super-users within the organisation\n\nThis ongoing support helps teams build confidence and capability alongside the system.\n",{"id":802,"__component":745,"title":803,"subheading":11,"image":804},740,"Are all organisations suited to automation projects?",{"data":11},{"id":806,"__component":750,"content":807},3308,"Automation projects are most successful in environments where:\n\n•\tCore workflows are reasonably stable or well understood\n•\tThere is internal alignment across scientific, technical, and operational teams\n•\tResources are available to support implementation\n\nHighly unstable or rapidly changing environments may benefit from additional upfront definition before automation is introduced.\n",{"id":809,"__component":745,"title":810,"subheading":11,"image":811},741,"How can organisations prepare for a successful automation project?",{"data":11},{"id":813,"__component":750,"content":814},3309,"Preparation can significantly reduce project stress and improve outcomes.\n\nHelpful steps include:\n\n•\tClearly documenting current workflows and objectives\n•\tAligning stakeholders early (R&D, IT, QA, operations)\n•\tDefining success criteria for the project\n•\tAllocating internal resources for collaboration and testing\n\nStrong organisational readiness allows projects to progress more smoothly.\n",{"id":816,"__component":745,"title":817,"subheading":11,"image":818},742,"How does this approach benefit long-term success?",{"data":11},{"id":820,"__component":750,"content":821},3310,"By focusing on structured delivery and team support, organisations benefit from:\n\n•\tFaster adoption of the system by internal teams\n•\tReduced operational disruption during implementation\n•\tGreater confidence in system performance\n•\tStronger long-term collaboration between teams and automation partners\n\nThe result is not just a successful installation, but a sustainable and scalable automation capability.\n",{"id":823,"__component":745,"title":824,"subheading":11,"image":825},743,"Summary: What should I expect from a Labman project?",{"data":11},{"id":827,"__component":750,"content":828},3311,"Labman projects are:\n\n•\tCollaborative and tailored to specific workflows\n•\tStructured to manage complexity and change\n•\tDesigned to minimise disruption to teams\n•\tSupported throughout with training and guidance\n\nWhile automation projects can be demanding, the focus is on reducing that burden through planning, transparency, and ongoing support.\n",[],{"id":831,"metaTitle":739,"metaDescription":740,"keywords":832,"canonicalURL":11,"metaRobots":11,"metaViewport":11,"structuredData":11,"metaImage":833,"metaSocial":834},565,"Managing complexity in lab automation projects",{"data":11},[],[836,846,856,866],{"id":118,"attributes":837},{"slug":838,"postedon":839,"header":840,"categories":845},"how-long-does-implementation-take","2026-09-01",{"id":841,"title":842,"subheading":843,"image":844},2212,"How long does lab automation take to implement?","Simple workflows can be implemented in months, while complex, fully integrated systems may take longer depending on scope, testing and validation requirements.",{"data":11},[],{"id":7,"attributes":847},{"slug":848,"postedon":849,"header":850,"categories":855},"what-is-lab-automation","2026-07-26",{"id":851,"title":852,"subheading":853,"image":854},2187,"What is lab automation?","Lab automation is the use of automated technologies, such as robotics, software, and integrated systems, to perform laboratory tasks that would otherwise be done manually.",{"data":11},[],{"id":151,"attributes":857},{"slug":858,"postedon":859,"header":860,"categories":865},"how-to-reduce-turnaround-time","2026-07-25",{"id":861,"title":862,"subheading":863,"image":864},2188,"How to reduce turnaround time?","Automation can remove bottlenecks, reproduce repetitive tasks, and streamline workflows.",{"data":11},[],{"id":65,"attributes":867},{"slug":868,"postedon":869,"header":870,"categories":875},"what-is-gravimetric-dosing","2026-07-24",{"id":871,"title":872,"subheading":873,"image":874},2190,"What is gravimetric dosing? A guide for modern laboratories","Gravimetric dosing dispenses materials by weight for greater accuracy and repeatability.",{"data":11},[],1792141344115]