A Deep Learning Model for Accurate Segmentation of the Brain from Micro-CT Imaging.

Unlabelled: The use of microcomputed tomography (Micro-CT) for imaging biological samples has burgeoned in the past decade, due to increased access to scanning platforms, ease of operation, isotropic three-dimensional image information, and the ability to derive accurate quantitative data. However, manual data analysis of Micro-CT images can be laborious and time intensive. Deep learning offers the ability to streamline this process, but historically has included caveats-namely, the need for a large amount of training data, which is often limited in many Micro-CT studies.

Volumetric Reconstruction of a Human Retinal Pigment Epithelial Cell Reveals Specialized Membranes and Polarized Distribution of Organelles.

Purpose: Despite the centrality of the retinal pigment epithelium (RPE) in vision and retinopathy our picture of RPE morphology is incomplete. With a volumetric reconstruction of human RPE ultrastructure, we aim to characterize major membranous features including apical processes and their interactions with photoreceptor outer segments, basolateral infoldings, and the distribution of intracellular organelles.

Methods: A parafoveal retinal sample was acquired from a 21-year-old male organ donor.

Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability.

Tablet defects encountered during the manufacturing of oral formulations can result in quality concerns, timeline delays, and elevated financial costs. Internal tablet cracking is not typically measured in routine inspections but can lead to batch failures such as tablet fracturing. X-ray computed tomography (XRCT) has become well-established to analyze internal cracks of oral tablets.

British Menopause Society consensus statement on the management of estrogen deficiency symptoms, arthralgia and menopause diagnosis in women treated for early breast cancer.

This guidance document by the British Menopause Society provides an overview of the management of women experiencing estrogen deficiency symptoms and arthralgia following a breast cancer diagnosis. It is now recommended that breast cancer patients are referred to health care professionals with an expertise in menopause for the management of such symptoms, which in turn often involves liaison with patients' breast cancer teams. However, as many women initially present to primary health care professionals for advice, this statement is aimed to support the latter in such consultations by providing information about symptom aetiology, current management strategies and controversies and identifying useful practice points.

Anatomic dorsal and volar radioulnar ligament reconstruction with Mersilene augmentation for distal radioulnar joint instability.

Instability of the distal ulna is a fairly common problem after acute distal radius fracture (DRF), distal radius malunion, triangular fibrocartilage complex injury, and a host of other types of trauma. We present a new anatomic technique to stabilize the distal ulna with a tendon graft augmented with Mersilene tape, which has been used primarily to treat unidirectional (dorsal or volar) instability, but could be used for global instability as well. Of the 12 patients who underwent this procedure, 9 had stability fully restored and the remaining 3 had only mild instability after surgery.

Ligament reconstruction tendon interposition with mersilene augmentation.

Many surgical procedures have been described for the treatment of thumb basilar joint osteoarthritis. Augmentation of the standard ligament reconstruction tendon interposition procedure with the use of a Mersilene suture tape suspension-plasty, to recreate the stability provided by the anterior oblique ligament and increase pinch strength, will be described. Satisfaction with this procedure was evaluated through surveys completed by patients.

Structural clusters of evolutionary trace residues are statistically significant and common in proteins.

Given the massive increase in the number of new sequences and structures, a critical problem is how to integrate these raw data into meaningful biological information. One approach, the Evolutionary Trace, or ET, uses phylogenetic information to rank the residues in a protein sequence by evolutionary importance and then maps those ranked at the top onto a representative structure. If these residues form structural clusters, they can identify functional surfaces such as those involved in molecular recognition.