An extension of the visible
An image in which 169 cell nuclei could be identified yielded 574 distinguishable nuclei after reconstruction. Researchers at the Georgia Institute of Technology call their method volumetric scattering microscopy: it recovers three-dimensional structure from fluorescent light scattered by tissue. Their peer-reviewed experimental paper, published on 1 November, makes organisation inside a fixed embryo visible. A change in what we can distinguish within the same specimen gives the wonder of a scientific image a concrete foundation.[1]
Computation has a place alongside light in making this image. Measurements arriving from different angles are brought together to reconstruct spatial information carried by scattered fluorescence. Pollen and cell specimens were also imaged through mouse skin 150 micrometres thick. What becomes visible therefore depends on more than the sharpness of an eye or lens. What I value here is the capacity of human work to extend observation: the apparatus, computation and biological specimen jointly create a new reach of visibility.[1]
This extension has a particular scale and pace today. The demonstrations use static specimens and offline reconstruction. Building larger views takes time because several fields have to be stitched together. Equating the organisation visible in the embryo with a capacity to follow living development continuously would therefore mislead. I locate the meaning of this new visibility in the opportunity to linger over a demonstrated structure. A dream of seeing every movement in a living body cannot be presented as this experiment’s result.[1]
The work beside the image
I value presenting that work when scientific images are shared. Explaining the computational stage need not diminish the feeling of seeing inside an embryo; it opens a richer question about how people become able to see. Recovering depth without mechanical scanning within one field does not mean that the illumination contains no rotating component. Such details need not extinguish wonder. They help us appreciate an achievement as the work of an apparatus that people have actually built.[1]
The researchers make analysis code and demonstration data available, while larger raw imaging datasets are supplied on request. That places the operations producing the final image alongside the image itself. My interpretation is that scientific wonder can be treated as work that is shareable. Using a laboratory result with the same success elsewhere still takes expertise and testing. Even so, providing code together with example data gives people a concrete starting point for investigating how the image came into being.[1]
I see a public value here that extends beyond one striking picture. Whoever presents the image can choose to explain the specimen and operations from which it arose. That account leaves an audience room both to marvel at the visible structure and to recognise the human effort that made it visible. The nuclei distinguished in a fixed embryo are remarkable within the experiment’s own bounds. Looking at them invites reflection on what it means to build tools that extend another person’s attention.[1]