I’ve returned from the American Society for Cell Biology 2016 meeting in San Francisco. Despite being a cell biologist and people from my lab attending this meeting numerous times, this was my first ASCB meeting. The conference was amazing, so much excellent science and so many opportunities to meet up with people. For the areas that […]
Tag: cell biology
The Digital Cell: Getting started with IgorPRO
This post follows on from “Getting Started“. In the lab we use IgorPRO for pretty much everything. We have many analysis routines that run in Igor, we have scripts for processing microscope metadata etc, and we use it for generating all figures for our papers. Even so, people in the lab engage with it to varying extents. The […]
The Digital Cell: Getting Started
More on the theme of “The Digital Cell“: using quantitative, computational approaches in cell biology. So you want to get started? Well, the short version of this post is: Find something that you need to automate and get going! Programming I make no claim to be a computer wizard. My first taste of programming was the […]
The Digital Cell
If you are a cell biologist, you will have noticed the change in emphasis in our field. At one time, cell biology papers were – in the main – qualitative. Micrographs of “representative cells”, western blots of a “typical experiment”… This descriptive style gave way to more quantitative approaches, converting observations into numbers that could be objectively assessed. […]
What Can You See?
Yesterday I tried a gedankenexperiment via Twitter, and asked: If you could visualise a protein relative to an intracellular structure/organelle at ~5 nm resolution, which one would you pick and why? https://twitter.com/clathrin/status/707949738323218432 I got some interesting replies: Myosin Va and cargo on actin filaments in melanocytes – Cleidson Alves @cleidson_alves COPII components relative to ER […]
The Great Curve II: Citation distributions and reverse engineering the JIF
There have been calls for journals to publish the distribution of citations to the papers they publish (1 2 3). The idea is to turn the focus away from just one number – the Journal Impact Factor (JIF) – and to look at all the data. Some journals have responded by publishing the data that underlie the JIF […]
White label: the growth of bioRxiv
bioRxiv, the preprint server for biology, recently turned 2 years old. This seems a good point to take a look at how bioRxiv has developed over this time and to discuss any concerns sceptical people may have about using the service. Firstly, thanks to Richard Sever (@cshperspectives) for posting the data below. The first plot shows the number of […]
Parallel Lines: Spatial statistics of microtubules in 3D
Our recent paper on “the mesh” in kinetochore fibres (K-fibres) of the mitotic spindle was our first adventure in 3D electron microscopy. This post is about some of the new data analysis challenges that were thrown up by this study. I promised a more technical post about this paper and here it is, better late […]
At a Crawl: Analysis of Cell Migration in IgorPro
In the lab we have been doing quite a bit of analysis of cell migration in 2D. Typically RPE1 cells migrating on fibronectin-coated glass. There are quite a few tools out there to track cell movements and to analyse their migration. Naturally, none of these did quite what we wanted and none fitted nicely into […]
Creep Diets: Fewer papers published at JCB
A couple of years ago, a colleague sent me this picture* to say “who put J Cell Biol on a diet?”. I joked that maybe they publish too many autophagy papers and didn’t think much more of it. Recently, Ron Vale put up this very interesting piece on bioRxiv discussing what it takes to publish […]