Single Cell Nebula
PhD student Reza Ghamsari’s eye-catching moving image shows hundreds of thousands of blood-producing bone marrow cells in the human body, scattered like stars across the cosmos.
Tell us about how you created and captured this image.
Part of my PhD project involves integrating single cell data from multiple donors to better understand cellular diversity.
I summarised the expression of thousands of genes across hundreds of thousands of bone marrow cells into a colourful 3D landscape using a technique called uMAP.
Each dot represents a single cell, grouped and coloured by their similarities.
What inspired you to capture this moment in your research?
Most people visualise this type of data in 2D, but I thought: why stop there when the human eye can see in 3D?
The first time I saw these cells forming colourful, distinct groups, it felt like standing on the edge of a cosmic landscape, except this one exists within us.
I wanted to share that moment where science meets wonder.
How does visualising your work help you think differently about your science?
Seeing the data as a swirling galaxy of cells helps me spot patterns and relationships that are invisible in code or spreadsheets.
It turns cold digits into something we can feel and explore. Numbers alone can whisper, but a moving image sings revealing harmonies, shapes and stories that speak a more human language.
What do you hope will be the impact of your research?
I hope this kind of visualisation will help uncover rare groups of cells in, for example, my research into how specific cell populations behave in diseases like cancer.
I want to see where the imperfections start, how they spread, and how we might stop them, bringing hope to those who need it most.