The chapter examines how the process of creating the first empirical images of a black hole differs from creating photographic images. She shows that the authenticity of the first empirical black images was constructed through a specifically tailored discursive evidential procedure in which human and non-human actors used statistical modelling methods to produce sufficiently visually consistent image reconstructions from measurement data via a traceable cascade of numerous intermediary images.

When the first empirical images of a black hole’s shadow were released in April 2019, they transformed this defining black hole feature from a theoretical into an explorable physical entity. But although derived from empirical measurements, the production of these images relied on the deployment of the algorithmic pipelines designed specifically for this purpose to enable the selection of optimal imaging parameters. How could the researchers involved trust their imaging pipelines to deliver faithful reconstructions of unknown images from the noisy, (...) fragmentary measurements? This article analyses the media-specific operations through which the researchers generated sufficient evidence of the trustworthiness of their algorithmic outputs by constructing and deploying a specifically tailored ground truth dataset that comprised simulated model images and simulated measurement data. The article also argues that the epistemic trust established through such operational procedures is relational and contingent on the adequacy of the media-specific operations that generated it. (shrink)

Hysteria, a mysterious disease known since antiquity, is said to have ceased to exist. Challenging this commonly held view, this is the first cross-disciplinary study to examine the current functional neuroimaging research into hysteria and compare it to the nineteenth-century image-based research into the same disorder. Paula Muhr's central argument is that, both in the nineteenth-century and the current neurobiological research on hysteria, images have enabled researchers to generate new medical insights. Through detailed case studies, Muhr traces how different images, (...) from photography to functional brain scans, have reshaped the historically situated medical understanding of this disorder that defies the mind-body dualism. (shrink)

After the Event Horizon Telescope Collaboration released in April 2019 the first empirical images of a black hole, an astrophysical object previously thought “unseeable,” much of the public discourse has approached these images as straightforward visual depictions of a black hole. This article challenges this view by showing that the first images of a black hole went beyond merely making an invisible cosmic object visible and that the images published in April 2019 were just the first in a series of (...) black hole images the researchers continue producing. Drawing primarily on Sybille Krämer’s concept of the cartographic impulse, the article demonstrates that the Event Horizon Telescope images are, first and foremost, epistemic tools. These epistemic tools enable researchers to actively explore various physical aspects and dynamic properties of a black hole’s immediate environment and test theoretical predictions about it, thus making this elusive environment empirically knowable. To demonstrate this, the article analyses the mapping operations that combined automated algorithmic procedures with expert human judgment and through which these images were produced, read, and interpreted. It also examines how the different Event Horizon Telescope images relate to one another, which particular epistemic functions they fulfil in the research context, under which conditions, and with which limitations, thus tracing how these images facilitate the production of new scientific knowledge about black holes. (shrink)

Contrary to the widely held belief in the humanities that hysteria no longer exists, this article shows that the advent of new brain imaging technologies has reignited scientific research into this age-old disorder, once again linking it to hypnosis. Even though humanities scholarship to date has paid no attention to it, image-based research of hysteria via hypnosis has been hailed in specialist circles for holding the potential to finally unravel the mystery of this elusive disorder. Following a succinct overview of (...) how hypnosis was used in the nineteenth century hysteria research, the article details how the relationship between hysteria and hypnosis is currently renegotiated in the context of brain imaging studies. It shows that the current research has so far failed to deliver on its promise of uncovering the link between hysteria and hypnosis. It further argues that despite huge technological advances in imaging technologies, contemporary researchers grapple with conceptual problems comparable to those that plagued their nineteenth century predecessors. (shrink)

Vast archives of fragmentary structural brain scans that are routinely acquired in medical clinics for diagnostic purposes have so far been considered to be unusable for neuroscientific research. Yet, recent studies have proposed that by deploying machine learning algorithms to fill in the missing anatomy, clinical scans could, in future, be used by researchers to gain new insights into various brain disorders. This chapter focuses on a study published in2019, whose authors developed a novel unsupervised machine learning algorithm for synthesising (...) missing anatomy in extremely sparse clinical MRI scans of thousands of stroke patients. By approaching the study from a media-theoretical perspective, I analyse how its authors dis-cursively negotiated the anatomical and operative plausibility of the unobserved anatomy that their black-boxed algorithm reconstructed from the existing sparse data. My analysis fore-grounds the processual, relational, context-dependent, and essentially unstable character of the thus established plausibility of the algorithmically synthesised neuroanatomy. (shrink)