Stirring the Pot: Antoine Baumé, Josiah Wedgwood, Pierre-Louis Guinand, and the Development of Optical Glass.

The development of defect-free flint glass for use in telescopes and navigational instruments was a key technological challenge facing European chemists, natural philosophers, and artisans that emerged in the 1750s. In 1805, Pierre-Louis Guinand, a Swiss artisan, invented a fireclay stirrer used to stir molten flint glass to create a homogenous mixture relatively free of defects. In this paper, I show it was not Guinand, but French chemist Antoine Baumé, who first came up with the idea of using a fireclay stirrer.

Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.

MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scanner hardware and acquisition protocols. In this work, we present a high-resolution dataset of 135 postmortem human brain tissue specimens imaged at 0.

Boundary-based registration improves sensitivity for detecting hypoperfusion in sporadic frontotemporal lobar degeneration.

Introduction: Frontotemporal lobar degeneration (FTLD) is associated with FTLD due to tau (FTLD-tau) or TDP (FTLD-TDP) inclusions found at autopsy. Arterial Spin Labeling (ASL) MRI is often acquired in the same session as a structural T1-weighted image (T1w), enabling detection of regional changes in cerebral blood flow (CBF). We hypothesize that ASL-T1w registration with more degrees of freedom using boundary-based registration (BBR) will better align ASL and T1w images and show increased sensitivity to regional hypoperfusion differences compared to manual registration in patient participants.

Speech markers of depression dimensions across cognitive status.

Introduction: Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification.

Methods: We investigated associations between emotion-based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal-apathy-vigor (WAV), anxiety, hopelessness, and subjective memory complaint).

Results: Higher WAV was associated with more negative valence (estimate = -0.