Tips and Tricks

Unleashing the Full Potential of Cloud Robotics Labs with Scispot's API-first Infrastructure

Post by
Unleashing the Full Potential of Cloud Robotics Labs with Scispot's API-first Infrastructure

The Problem Facing Cloud Robotics Labs

In the exciting world of scientific research, cloud labs and robotic systems have emerged as the future of laboratory work. They have the potential to revolutionize lab operations by automating time-consuming tasks, minimizing human error, and providing unprecedented scalability. Yet, managing and orchestrating these labs can be challenging. Traditional lab management software specifically old school ELNs and LIMS are often too rigid to accommodate the complex, dynamic workflows of a cloud lab. This limitation often leads to inefficiencies, data inconsistencies, and barriers to collaboration, stalling the potential benefits of robotic cloud labs.

How Scispot's API-first Infrastructure Addresses these Challenges

To address these challenges, we introduce Scispot's API-first infrastructure. This infrastructure embraces the concept of 'protocol as code', making lab protocols more akin to software code that can be easily created, updated, and version controlled. Our API-first approach provides a flexible and scalable solution that can effectively manage diverse lab workflows, streamline operations, and maximize the potential of robotic cloud labs.

Unraveling Scispot's Solution

Scispot's API-first infrastructure allows you to create, manage, and manipulate a Labspace - a hub for your cloud lab where you can organize and manage all your protocols, lab data, and resources. You can define your workflows in Labsheets, which act as your cloud lab notebooks, holding all the necessary data for your workflows.

Scispot treats protocols like a piece of code. They are easily created, updated, and linked with results through a simple API call. This approach allows for version control of your protocols, the ability to track deviations, and revert to older versions if necessary.


Directly linking protocols with corresponding results enhances transparency and reproducibility in your research. By comparing results before and after a protocol change, you gain clearer insights into the impact of your methods on your findings.

Our structured endpoints, as detailed in Scispot's API documentation, provide seamless interaction with your lab data, whether it's structured data like registries and tables (through Labsheet endpoints), or HTML data for viewing protocols in a structured JSON format (through Labspace endpoints).

The Outcomes of Using Scispot's API-first Infrastructure

Scispot's API-first approach provides multiple benefits for managing your robotic cloud labs:

  • Efficiency: Automate and streamline lab workflows, saving time and reducing the potential for human error.
  • Flexibility: Easily update, manage, and version control your protocols, allowing you to adapt quickly to new findings or evolving research needs.
  • Reproducibility: By directly linking protocols with results, enhance reproducibility and transparency in your research.
  • Scalability: With an API-first approach, scaling up your operations becomes far easier and more manageable.

Scispot's API-first infrastructure empowers researchers to fully harness the potential of robotic cloud labs, driving forward the future of lab management. From protocol creation to linking results, managing your lab workflows has never been more streamlined. Experience the transformation in your lab operations with Scispot's API-first approach.

Sign up for a trial to try it out for 2 weeks with no obligation!

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.