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Standardization in Lab Automation

Standardization in Lab Automation is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Standardization in Lab Automation rather than just read about it. In short: The consortium for Standardization in Lab Automation (SiLA) is a not-for-profit membership organization formed by software suppliers, system integrators and pharma/biotech companies. It develops and introduces new device and data interface standards allowing rapid integration of lab automation hardware and data management systems.

Standardization in Lab Automation — main illustration
Standardization in Lab Automation — illustration

Key takeaways

  • Standardization in Lab Automation belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Standardization in Lab Automation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Standardization in Lab Automation from memory before moving on to harder problems.

Reference excerpt

The consortium for Standardization in Lab Automation (SiLA) is a not-for-profit membership organization formed by software suppliers, system integrators and pharma/biotech companies. It develops and introduces new device and data interface standards allowing rapid integration of lab automation hardware and data management systems. Highly skilled experts of member companies contribute in SiLA's technical work groups. Membership is open for institutions, corporations and individuals active in the life science lab automation industry. The SiLA consortium provides professional training, support and certification services to suppliers and system integrators implementing SiLA compliant interfaces.

Mission SiLA is the global initiative to standardize software interfaces in the field of life science research instrumentation, like autosamplers, and laboratory automation. Instigated by the pharmaceutical industry's need for flexible laboratory automation, the initiative is supported by major device and software suppliers worldwide.

Background Understanding the mechanisms of life requires extensive, often repetitive, experimentation. Laboratory automation, therefore, has become instrumental to the progress of the life sciences. Industry provides commercial laboratory devices to perform increasingly sophisticated tasks. However, combining equipment from different providers to work in concert often proves impossible. Exporting captured data from proprietary software for further analysis can be frustrating or impossible. This situation leads to a waste of resources: Available equipment needs to be replaced for compatibility reasons, software drivers have to be purchased or developed, and data conversion is time-consuming. Such technical obstacles impede the development of higher level autonomous experimentation systems. SiLA enables researchers to focus on their scientific questions by reducing equipment connectivity effort to a minimum. This is achieved by using proven, tested and maintained documentation and code.

History Advancements seen on the home consumer electronics marked like USB or UPnP triggered the idea of applying a similar approach to the laboratory automation environment. Why was it possible to easily upload pictures from any digital camera on any computer but in the same time not even thinkable to replace a lab device (e.g.: a Shaker) of one brand with a Shaker of a different brand? Analyzing the situation led to the conclusion that the incompatibility was a result of missing interface definitions. The idea of a standardized interface based on the Common Command Set (CCS) concept was born. However, SiLA 1.x has some limitations: It is based on XML/Soap which is considered as outdated. Getting started with SiLA 1.x is not an easy process. This led to the proposition of a spin-off group of the SiLA consortium to develop a new standard: SiLA 2. Learning from SiLA 1.x and taking many concepts from it, SiLA 2 had the vision of being as accessible as possible. A major goal is to create a community constantly working on the development of new Features.

SiLA 2

SiLA 1.x

Organization

SiLA 2 SiLA 2 addresses control and data interfaces between devices and process management, LIMS and Enterprise Systems. It is built to connect systems in a laboratory, such as laboratory information management systems, electronic lab notebooks, chromatography software and laboratory devices such as balances, pipettors and various other analytical instruments. Enhancing the first standard SiLA 1.x by adopting proven concepts and applying already existing open standards and protocols in a "lean and mean" manner, SiLA 2 is designed to enable plug-and-play operations in the laboratory.

Technical background SiLA 2 considers every entity in the modern laboratory as a service. Focus on behaviour and service oriented design structures leads to the Feature Definition Language (FDL). SiLA 2 is based on a microservice architecture. Relying on HTTP/2, SiLA uses Protocol Buffers to serialize payload data. Furthermore, SiLA 2 uses the wire format provided by gRPC.

Structures SiLA 2 can split up into a Core and Feature level. The SiLA Core is written and maintained by the SiLA 2 Working group. SiLA Features are specific extensions that may change and evolve in any way. SiLA's basic structure consists of a client – server communication model. The SiLA Server (≙ web server) exposes all its capabilities to the SiLA Client (≙ web client). Capabilities of the SiLA Server are grouped together as SiLA Features.

Features The Feature concept serves as a common communication base for subject matter experts (SME), IT experts and end users. Each Feature is described by its Feature Definition, an XML-file containing information about parameters, interactions, data types, return values, etc. It exposes a certain number of Commands which model actions that can be performed by the SiLA Server.

Cloud connectivity SiLA 2 offers cloud functionality. For connecting, the SiLA-Client and SiLA-Server switch roles and a “reverse-channel” will be established – This way the connection will be initialized by the SiLA-Server which can reside in a local network. Cloud capabilities are given while maintaining regulated security policies and safety by relying on standard gRPC and HTTP/2 connection handling and security models.

SiLA 1.x SiLA 1.x has been used from 2009 until 2018. But getting started with SiLA 1.x is not an easy process. Furthermore, As SiLA 1.x is based on XML/Soap which is considered outdated. It is now replaced by SiLA 2.

SiLA 1.x – Device Interface Standard

… excerpt ends here. Continue reading the full article.

Illustrations

Standardization in Lab Automation: SiLA board of directors
SiLA board of directors

Worked examples

Example 1 — a first encounter with Standardization in Lab Automation

Start with the simplest possible case. Write down what Standardization in Lab Automation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Standardization in Lab Automation before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Standardization in Lab Automation ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Standardization in Lab Automation

In research
Standardization in Lab Automation appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Standardization in Lab Automation in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Standardization in Lab Automation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data interchange standards, Distributed computing architecture, Laboratory automation, so understanding it makes those chapters shorter.
In everyday life
Look for Standardization in Lab Automation outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Standardization in Lab Automation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Standardization in Lab Automation means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Standardization in Lab Automation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Standardization in Lab Automation in simple terms?

The consortium for Standardization in Lab Automation (SiLA) is a not-for-profit membership organization formed by software suppliers, system integrators and pharma/biotech companies. It develops and introduces new device and data interface standards allowing rapid integration of lab automation hard…

Why does Standardization in Lab Automation matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Standardization in Lab Automation?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Standardization in Lab Automation.

Tags

  • Data interchange standards
  • Distributed computing architecture
  • Laboratory automation
  • Life sciences industry

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