Biblade Sampler

A BiBlade sampler may include a first blade and a second blade in a retracted position. The BiBlade sampler may also include a gripper, which is driven by an actuator. The gripper may include a plurality of fingers to force the first blade and the second blade to remain in a retracted position. When the fingers are unhooked, the first blade and the second blade penetrate a surface of an object

Objective assessment of stored blood quality by deep learning

Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo continuous degradation. RBC storage lesions are often assessed by microscopic examination or biochemical and biophysical assays, which are complex, time-consuming, and destructive to fragile cells. Here we demonstrate the use of label-free imaging flow cytometry and deep learning to characterize RBC lesions. Using brightfield images, a trained neural network achieved 76.7% agreement with experts in classifying seven clinically relevant RBC morphologies associated with storage lesions, comparable to 82.5% agreement between different experts. Given that human observation and classification may not optimally discern RBC quality, we went further and eliminated subjective human annotation in the training step by training a weakly supervised neural network using only storage duration times. The feature space extracted by this network revealed a chronological progression of morphological changes that better predicted blood quality, as measured by physiological hemolytic assay readouts, than the conventional expert-assessed morphology classification system. With further training and clinical testing across multiple sites, protocols, and instruments, deep learning and label-free imaging flow cytometry might be used to routinely and objectively assess RBC storage lesions. This would automate a complex protocol, minimize laboratory sample handling and preparation, and reduce the impact of procedural errors and discrepancies between facilities and blood donors. The chronology-based machine-learning approach may also improve upon humans’ assessment of morphological changes in other biomedically important progressions, such as differentiation and metastasis

Family Planning in Rwanda is Not Seen as Population Control, But Rather as a Way to Empower the People : Examining Rwanda\u27s Success in Family Planning from the Perspective of Public and Private Stakeholders

Background: Rwanda has made significant strides in improving the health of its people, including increasing access to and use of family planning. Contraceptive use has increased from 17% to 53% in just one decade, from 2005 to 2015. Methods: The data consist of 13 in-depth interviews conducted with family planning program experts in Rwanda to better understand the mechanisms for success, elucidate remaining challenges, speculate on the future of the program, and discuss potential applicability for translating aspects of the program in other settings. Results: All respondents first noted the positive aspects of government will, leadership, and management of the family planning program when asked to describe the reasons for success. The challenges that loomed the largest for the program were service accessibility for rural Rwandans, adolescent access to and use of contraceptives, opposition from religious institutions, as well as inadequate human resources and funding. These challenges were openly acknowledged and are in the process of being addressed. Conclusion: The importance of government leadership and focus in the success of Rwanda’s family planning program was prominent. All positive aspects of the program are based upon the strong foundation the government has built and nurtured. Since innovation is welcomed and program evaluation is considered essential, the outlook for Rwanda’s family planning program is favorable. The issues that remain are common and persistent challenges for family planning programs. Other nations could learn tangible practices from Rwanda’s success and follow Rwanda’s efforts to mitigate the remaining challenge

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluation metrics for nucleus segmentation do not satisfactorily capture error modes that are relevant in cellular images. We present an evaluation framework to measure accuracy, types of errors, and computational efficiency; and use it to compare deep learning strategies and classical approaches. We publicly release a set of 23,165 manually annotated nuclei and source code to reproduce experiments and run the proposed evaluation methodology. Our evaluation framework shows that deep learning improves accuracy and can reduce the number of biologically relevant errors by half. (c) 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry

Reciprocal priming between receptor tyrosine kinases at recycling endosomes orchestrates cellular signalling outputs

From Wiley via Jisc Publications RouterHistory: received 2020-10-29, rev-recd 2021-04-27, accepted 2021-04-28, pub-electronic 2021-06-04Article version: VoRPublication status: PublishedFunder: Wellcome Trust; Grant(s): 107636/Z/15/Z, 210002/Z/17/ZFunder: UKRI | Biotechnology and Biological Sciences Research Council (BBSRC); Id: http://dx.doi.org/10.13039/501100000268; Grant(s): BB/R015864/1, BB/M011208/1Funder: UKRI | Medical Research Council (MRC); Id: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/T016043/1Funder: Cancer Research UK (CRUK); Id: http://dx.doi.org/10.13039/501100000289; Grant(s): A27445Funder: NIHR Manchester Biomedical Research Centre; Grant(s): IS‐BRC‐1215‐20007Funder: Breast Cancer Now; Grant(s): MAN‐Q2‐Y4/5Abstract: Integration of signalling downstream of individual receptor tyrosine kinases (RTKs) is crucial to fine‐tune cellular homeostasis during development and in pathological conditions, including breast cancer. However, how signalling integration is regulated and whether the endocytic fate of single receptors controls such signalling integration remains poorly elucidated. Combining quantitative phosphoproteomics and targeted assays, we generated a detailed picture of recycling‐dependent fibroblast growth factor (FGF) signalling in breast cancer cells, with a focus on distinct FGF receptors (FGFRs). We discovered reciprocal priming between FGFRs and epidermal growth factor (EGF) receptor (EGFR) that is coordinated at recycling endosomes. FGFR recycling ligands induce EGFR phosphorylation on threonine 693. This phosphorylation event alters both FGFR and EGFR trafficking and primes FGFR‐mediated proliferation but not cell invasion. In turn, FGFR signalling primes EGF‐mediated outputs via EGFR threonine 693 phosphorylation. This reciprocal priming between distinct families of RTKs from recycling endosomes exemplifies a novel signalling integration hub where recycling endosomes orchestrate cellular behaviour. Therefore, targeting reciprocal priming over individual receptors may improve personalized therapies in breast and other cancers

Alien Registration- Mcquin, Samuel (Pittston, Kennebec County)

https://digitalmaine.com/alien_docs/16768/thumbnail.jp

Using protein residue analysis and other methods to determine scraper function and bison influence at La Crosse locality sites in southwestern Wisconsin

A recurring question concerning Oneota archaeology at the La Crosse locality of southwestern Wisconsin is how bison scapulas are procured. More directly, do the scapulas and other bison skeletal elements found at La Crosse locality sites indicate seasonal hunting of bison, or simply the trading for scapulas to use as hoes? A second question often asked concerning this subject is whether or not the abundance of scrapers found at La Crosse locality sites indicates the processing of bison hides. This paper attempts to explore such questions through three methods. These methods include an adapted version of Binford's modified general utility index, scraper-to-point ratios, and protein residue analysis on lithic tools found at the Northern Engraving site (47Lc164), an Oneota site is La Crosse county, Wisconsin