We want to introduce you to our new revolutionary laboratory tool that has the potential to greatly enhance the precision and efficiency of your diagnostic analysis processes -Microlit AQUA Electronic Micropipette.
The Microlit AQUA electronic Micropipette offers several key advantages that can significantly improve laboratory workflows:
EXTERNAL DETACHABLE RECHARGEABLE BATTERY – ensures continuous usage and eliminates downtime during critical experiments with reliable power backup
LARGE EASY-TO-READ DISPLAY – 1-inch tempered LCD glass adds a layer of protection against accidental impacts, scratches and chemical spills
VOLUME ADJUSTMENT WHEEL – It offers extremely fast volume setting, menu navigation and enables single-handed operation.
12 UNIQUE MODES OF OPERATIONS – Extensive range of pipetting modes eases workflow, gives the option to tailor protocols and define custom programs.
LINEAR STEPPER MOTOR SYSTEM – Motor controlled piston operation ensures no human error and guarantees reliable pipetting.
INTERNAL STORAGE MEMORY – Users can store upto six programs in memory and reuse them as per their convenience.
SPEED SELECTION MODE – Users can select and adjust the pipetting speed from three options of Low (L), Medium (M) and High (H).
STAINLESS STEEL TIP CONE – The 304 Grade SS tip cone offers high dimensional accuracy resulting in best tip fitment.
Visit our website today and shop our products to elevate your scientific pursuits.
Previous definitions of long COVID have been all over the map, each with its own set of accepted symptoms, timelines and requirements for proof of infection.
That lack of standardization “left many patients in the lurch without clear ability to be recognized for the condition that they had, with difficulty explaining to family and even to their caregivers,” says Harvey Fineberg, a public health expert who chaired the committee that drafted the definition. “We heard from literally hundreds of people experiencing long COVID about the challenges that they had in being heard, in gaining access to care and obtaining the care they needed.”
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Titled ‘Histomorphological Phenotype Learning’ (HPL), the system created by teams from Glasgow and New York universities, has the potential to enable faster, more accurate diagnoses and reliable predictions of patient outcomes. Co-senior author of the study published in Nature Communications, professor John Le Quesne, from the University of Glasgow’s School of Cancer Sciences, supervised the research.
He admitted: “We were surprised but very pleased by the effectiveness of machine learning to tackle this task.” Current procedure involves pathologists examining tissue samples taken from cancer patients on microscope slides under a microscope with their observations helping determine patient treatment and assessing chances of recovery.
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University of Chicago researchers have developed a novel method for extracting lithium from widespread sources such as seawater and groundwater. The optimized method could aid in filling global lithium demands.
Global lithium production has more than tripled in the last decade thanks to growing demand to supply lithium-ion battery producers. However, current lithium extraction methods from rock ores require large amounts of energy and come with environmental impacts. Additionally, current methods are time-consuming and require sources of highly concentrated lithium.
Read MoreIn the precise world of laboratory science, the accuracy and reliability of measurements are paramount. One of the most common tools for liquid handling is the pipette and ensuring its accuracy requires strict adherence to calibration standards. The International Organization for Standardization (ISO) has established such a guideline with the ISO 8655:2022 standard. This blog delves into the essential facts about the ISO 8655:2022 standard, highlighting its significance, updates from previous versions and key considerations for compliance.
By adhering to this standard, laboratories can ensure the accuracy, reliability, and traceability of their liquid handling processes, ultimately supporting high-quality research and diagnostic outcomes.
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