Jupyter Notebook Extension
Jupyter Notebook Extension - Related Videos
03:06
Proper Lab Notebook Keeping - Concepts
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2020
Organic Lab Notebook Keeping Record keeping is a vital skill in science and organic chemistry labs. Without proper notes, descriptions, quantities, or observations, an experiment conducted in the lab cannot be replicated or reproduced. Therefore, keeping an accurate and up-to-date notebook is necessary to achieve reproducibility in science. A laboratory notebook is a powerful tool in both academic and industrial settings. It becomes especially important when a discovery is patented and...
10:28
Proper Lab Notebook Keeping - Student Protocol
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2020
Source: Lara Al Hariri and Ahmed Basabrain at the University of Massachusetts Amherst, MA, USA Nitration of Methyl BenzoateExpand From this lab onward, you'll keep a record of every experiment in your lab notebook. This starts with preparing your lab notebook before you come to the lab. This preparation, which is often called a pre-lab, typically includes balanced chemical equations for the reactions, important properties of the reagents and products, and a step-by-step procedure for the lab...
02:30
Proper Lab Notebook Keeping - Instructor Prep
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2020
Source: Lara Al Hariri at the University of Massachusetts Amherst, MA, USA Preparation of the LaboratoryExpand Here, we show the laboratory preparation for 10 students working in pairs, with some excess. Please adjust quantities as needed. Put on a lab coat, splash-proof safety glasses, and nitrile gloves. You'll work in a fume hood because these acids are toxic and corrosive. Ensure that the lab has containers for concentrated acid waste, aqueous acid waste, and glass waste.
28:40
Proboscis Extension Response (PER) Assay in Drosophila
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Cited by 120 •
2007
Proboscis extension response or PER is a taste behavior assay that has been used in flies as well as in honeybees. When the proboscis makes contact with an attractive substance, the fly extends its proboscis to consume the substance. Solutions of various sugars are very attractive to the fly.
03:32
Using a Macrophage Conditioned Medium to Promote Neuron Extensions
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2025
This video demonstrates an assay for promoting the growth of neuron projections known as neurite outgrowth using the macrophage-conditioned medium. Co-culture neurons and macrophages with cAMP and harvest the macrophage-derived conditioned medium. Growing the neurons with the conditioned medium promotes neurite outgrowths. These outgrowths are fluorescently labeled and visualized using a fluorescence microscope.
FAQs
The main distinction is where an extension acts: front-end components modify the notebook interface, while Python-based tools work through the computational environment or kernel. This separation lets a feature change how users edit, view, or control a workflow without being identical to the code that performs an analysis. In biochemistry, that can connect presentation and computation within one notebook.
Interactive widgets add a control layer to notebook analysis, allowing users to explore outputs through adjustable interface elements rather than relying only on fixed code results. This can make patterns in protein sequences, molecular structures, assay data, or experimental results easier to inspect. The resulting interaction supports interpretation while keeping computational work, visual outputs, and explanatory text together.
Different features support different interpretive tasks. Specialized visualization emphasizes patterns in scientific data, enhanced code editing supports clearer development of analysis steps, and workflow controls help organize how those steps are used. Because extensions can be configured through interface components or Python-based tools, researchers can align the notebook experience with the kind of biochemical information they need to examine.
The choice depends on whether the desired improvement concerns interaction with the notebook interface or computational work performed through the kernel. Front-end components are suited to interface functions, whereas Python-based tools support functions connected to code execution and analysis. Matching the extension type to the task helps researchers organize biochemical workflows without separating data, computation, and communication.
A researcher can combine executable code with explanatory text, visual outputs, and selected extension features in a single notebook. The notebook may then support analysis of protein sequences, molecular structures, assay data, or experimental results while also documenting how the work was performed. This integrated workflow improves interpretation and makes computational methods easier to communicate and reproduce.
They are useful when biochemical work requires both computation and clear examination of results. Examples supported by the topic include protein-sequence analysis, molecular-structure analysis, assay-data analysis, and review of experimental results. Interactive widgets, specialized visualization, code-editing support, and workflow controls can help researchers interpret these materials, collaborate around them, and communicate the computational approach.