5 results found | searching for "LaboratoryInformationManagementSystem(LIMS) "
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lims software development https://gloriumtech.com/what-is-lims-how-to-build-a-lims-system-in-5-simple-steps/
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Offline pathology software is a type of software that is installed on a local computer or server and does not require an internet connection to operate. It is typically used by small and medium-sized pathology labs that do not need the features and functionality of a cloud-based LIMS. https://www.saralpath.com/saral-path.html
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Online pathology software is a type of laboratory information management system (LIMS) that is used to manage the workflow and data of a pathology lab. It can be used to automate tasks such as sample tracking, test ordering, result reporting, and billing. https://www.saralpath.com/cloud-path.html
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Lab Automation market Trend and Market Forecast 2035 Roots Analysis has done a detailed study on lab automation market, 2023-2035 covering key aspects of the industry’s evolution and identifying potential future growth opportunities. Key Market Insights Presently, around 350 players claim to have the necessary capabilities to offer several lab automation systems, catering to the needs of various end-users within the healthcare industry More than 90% of the lab automation system manufacturers are focusing on pre-analytical stage-based instruments; of these, automated liquid handling systems and automated analysis systems have been more widely adopted by pharma and biotech companies In pursuit of gaining a competitive edge, companies are actively enhancing their existing capabilities to enhance their respective product portfolios and drive compliance to evolving industry benchmarks The partnership activity has increased at a CAGR of around 25%; in fact, the maximum deals related to lab automation have been inked in the last three years More than 6,200 patents related to lab automation have been filed / granted recently, highlighting the growing interest in scalable and configurable lab automation systems Majority of the lab automation software providers are headquartered in North America; more than 55% of the market is captured by small players The increasing adoption of lab automation in the healthcare industry is anticipated to create profitable business opportunities for lab automation software providers The market is estimated to grow at an annualized rate of ~15%; the opportunity is likely to be well distributed across various types of instruments, geographical regions, stages of automation and end-users Table of Contents 1. PREFACE 1.1. Introduction 1.2. Key Market Insights 1.3. Scope of the Report 1.4. Research Methodology 1.5. Frequently Asked Questions 1.6. Chapter Outlines 2. EXECUTIVE SUMMARY 3. INTRODUCTION 3.1. Overview of Lab Automation 3.2. Historical Evolution of Lab Automation 3.3. Stages of Lab Automation 3.4. Process of Lab Automation 3.5. Advantages of Lab Automation Over Manual Handling 3.6. Challenges associated with Lab Automation 3.7. Future Perspectives 4. MARKET LANDSCAPE 4.1. Lab Automation System Manufacturers: Overall Market Landscape 4.1.1. Analysis by Year of Establishment 4.1.2. Analysis by Company Size 4.1.3. Analysis by Location of Headquarters 4.1.4. Analysis by Company Size and Location of Headquarters 4.1.5. Analysis by Type of Lab Automation System(s) 4.1.6. Analysis by Type of Automated Liquid Handler(s) 4.1.7. Analysis by Type of Automated Microplate(s) 4.1.8. Analysis by Stage(s) of Automation 4.1.9. Analysis by Application Area(s) 4.1.10. Analysis by Type of Lab Automation System(s) and Application Area(s) 4.1.11. Analysis by End-user(s) 4.1.12. Analysis by Stage(s) of Automation and End-user(s) 5. COMPANY COMPETITIVENESS ANALYSIS 5.1. Assumptions and Key Parameters 5.2 Methodology 5.3. Competitiveness Analysis: Very Small Companies based in North America (Peer Group I) 5.4. Competitiveness Analysis: Small Companies based in North America (Peer Group II) 5.5 Competitiveness Analysis: Mid-sized Players based in North America (Peer Group III) 5.5. Competitiveness Analysis: Large Companies based in North America (Peer Group IV) 5.6. Competitiveness Analysis: Very Large Companies based in North America (Peer Group V) 5.7 Competitiveness Analysis: Very Small Companies based in Europe (Peer Group VI) 5.8 Competitiveness Analysis: Small Companies based in Europe (Peer Group VII) 5.9. Competitiveness Analysis: Mid-sized Companies based in Europe (Peer Group VII) 5.10. Competitiveness Analysis: Large Companies based in Europe (Peer Group IX) 5.11. Competitiveness Analysis: Very Large Companies based in Europe (Peer Group X) 5.12. Competitiveness Analysis: Very Small Companies based in Asia-Pacific and Rest of the World (Peer Group XI) 5.13. Competitiveness Analysis: Small Companies based in Asia-Pacific and Rest of the World (Peer Group XII) 5.14. Competitiveness Analysis: Mid-sized Companies based in Asia-Pacific and Rest of the World (Peer Group XIII) 5.15. Competitiveness Analysis: Large Companies based in Asia-Pacific and Rest of the World (Peer Group XIV) 5.16. Competitiveness Analysis: Very Large Companies based in Asia-Pacific and Rest of the World (Peer Group XV) 6. COMPANY PROFILES 6.1. Abbott 6.1.1. Company Overview 6.1.2. Financial Information 6.1.3. Lab Automation Product Portfolio 6.1.4. Recent Developments and Future Outlook 6.2. Anton Paar 6.3. BD 6.4. Beckman Coulter 6.5. ERWEKA 6.6. Leuze 6.7. Ortho Clinical Diagnostics 6.8. Pall Corporation 6.9. PerkinElmer 6.10. Roche Diagnostics 6.11. Siemens Healthineers 6.12. SYSTAG 7. PARTENRSHIPS AND COLLABORATIONS 7.1. Partnership Models 7.2. Lab Automation: List of Partnerships and Collaborations 8. PATENT ANALYSIS 8.1. Methodology and Key Parameters 8.2. Lab Automation: List of Patents 8.3. Analysis by Patent Publication Year 8.4. Analysis by Publication Year and Type of Patent 8.5. Analysis by Application Year 8.6. Analysis by Patent Jurisdiction 8.7. Analysis by CPC Symbols 8.8. Analysis by Type of Applicant 8.9. Word Cloud: Emerging Focus Areas 8.10. Analysis by Patent Age 8.11. Leading Industry Players: Analysis by Number of Patents 8.12. Leading Non-Industry Players: Analysis by Number of Patents 8.13. Leading Individual Assignees: Analysis by Number of Patents 8.14. Patent Benchmarking: Analysis of Leading Industry Players by Patent Characterization (CPC Symbols) 8.15. Patent Valuation: Methodology and Key Parameters 9. MARKET FORECAST AND OPPORTUNITY ANALYSIS 9.1. Methodology and Key Assumptions 9.2. Global Lab Automation Market, 2023-2035 9.2.1. Lab Automation Market: Distribution by Stage of Automation, 2023 and 2035 9.2.2. Lab Automation Market: Distribution by Type of Instrument, 2023 and 2035 9.2.3. Lab Automation Market: Distribution by End-user, 2023 and 2035 9.2.4. Lab Automation Market: Distribution by Key Geographical Regions, 2023 and 2035 10. CASE STUDY: LAB AUTOMATION SOFTWARE 10.1. Lab Automation Software Providers: Overall Market Landscape 10.1.1. Analysis by Year of Establishment 10.1.2. Analysis by Company Size 10.1.3. Analysis by Location of Headquarters 10.1.4. Analysis by Company Size and Location of Headquarters 10.1.5. Analysis by Type of Software 10.1.6. Analysis by Mode(s) of Deployment 10.1.7. Analysis by Type of Software and Mode(s) of Deployment 10.1.8. Analysis by End-user(s) 10.1.9. Analysis by Type of Software and End-user(s) 11. EXECUTIVE INSIGHTS 11.1. Chapter Overview 11.2. Africa Medical Supplies Platform 11.3. A.S.T. Biomedical 11.4. Berthold Technologi 11.5. Efevre Tech 11.6. HSE 11.7. Inheco 11.8. LabWare 11.9. SciRobotics 12. APPENDIX 1: TABULATED DATA 13. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS To view more details on this report, click on the link https://www.rootsanalysis.com/reports/lab-automation-market.html You may also be interested in the following titles: Digital Therapeutics Market Global TIL Therapies Market About Roots Analysis Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights. Contact: Ben Johnson +1 (415) 800 3415 Ben.johnson@rootsanalysis.com #LabAutomationMarketSize #LabAutomationMarketTrends #LabautomationSystem #microplatereaders #LaboratoryInformationManagementSystem(LIMS)
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AI-BASED DIGITAL PATHOLOGY GAINS INTEREST DUE TO AUTOMATION, DIGITIZATION OF HEALTHCARE, SHORTAGE OF PATHOLOGISTS, AND INCREASED DEMAND FOR PATHOLOGY SERVICES In recent years, advancements in technology and emphasis on precision medicine have recently paved the path for the development of artificial intelligence (AI) based digital pathology techniques for quantitative and qualitative assessment of samples. Specifically, the process of AI-based digital pathology allows scanning of slides via computer monitors, by replacing the conventional microscopic approaches. Further, by converting glass slides to images, samples can be transmitted from diagnostic centers to pathologists within a fraction of time. Considering the rising popularity and demand for such solutions in the healthcare and research industry, and the ongoing efforts of AI-powered digital pathology solution providers / AI pathology solution providers to further improve / expand their respective portfolios, we believe that the AI-based digital pathology market / AI Pathology Market is likely to evolve at a steady pace, till 2035. To request a sample copy / brochure of this report, please visit this https://www.rootsanalysis.com/reports/ai-based-digital-pathology-market/request-sample.html The steps involved in the usual workflow of AI-based digital pathology process. Preparation of Tissue Sample: This process is very similar to the conventional approach. A pathologist examines a biopsy to determine its color, size and consistency. At this point, the specialist can detect symptoms of malignancy and select which areas of a specimen should be inspected under the microscope. Further, the chosen region is prepared by following multi-step processes, such as treatment of the tissue with chemicals in order to maintain its structure, mounting the specimen on a glass slide, staining to improve contrast and protecting the tissue with coverslips. Converting into Virtual Sample / Whole slide imaging (WSI): WSI or virtual microscopy is a technique that is used to enable digital pathology. Its central component, which is a WSI scanner, captures a picture of the glass slide and generates a precise electronic replica known as a virtual slide. It is worth noting that virtual slides, unlike glass slides, are easy to replicate, save, categorize and distribute. Furthermore, they may be linked to electronic health records, thereby, providing a complete picture of a patient's health. Saving a Virtual Slide: The scanner pre-processes the virtual slide automatically and stores it to on-premises or cloud storage. In order to minimize the file size, a compression approach is frequently employed before saving the slide. Viewing and Editing of Slide: In the digital process, instead of using a traditional microscope, a pathologist uses a computer display to analyze enlarged tissue samples. A slide viewing and management software is used to zoom out a tissue segment and observe its smallest features. In addition, this software allows the pathologist to view the slide from different angles, add annotations and even compare multiple images at one time. Sharing Data: Using specialized digital pathology software applications, slides are converted to an electronic format, thereby, allowing them to be exchanged using the internet. These slides can be shared to gain a second opinion, as well as with patients, research facilities and other stakeholders. Reporting Results: Some image viewing systems provide reporting capabilities. However, this work is often accomplished by enabling interaction with the laboratory information or laboratory information management system (LIS/LIMS) and hospital information system (HIS). For additional details, please visit https://www.rootsanalysis.com/reports/ai-based-digital-pathology-market.html or email sales@rootsanalysis.com You may also be interested in the following titles: 1. Smart Labels Market: Industry Trends and Global Forecasts, 2022-2035 2. 4D Bioprinting Market : Industry Trends and Global Forecasts, 2022-2035 About Roots Analysis Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights. Contact: Ben Johnson +1 (415) 800 3415 Ben.johnson@rootsanalysis.com
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