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Effect of Using Two Cryopreservation Methods on Viability and Fertility of Frozen Stallion Sperm.

Journal of equine veterinary science
Studies involving different methods and techniques of cryopreservation and its interactions with the conception rates in artificial insemination (AI) programs are reported in the literature. This study evaluated the sperm kinetics, plasma membrane in...

Rapid Quantification of Protein Particles in High-Concentration Antibody Formulations.

Journal of pharmaceutical sciences
Current technologies for monitoring the subvisible particles that may be generated during fill-finish operations for protein formulations are cumbersome. Measurement times are generally too long for real-time analysis, and the high protein concentrat...

The application of convolution neural network based cell segmentation during cryopreservation.

Cryobiology
For most of the cells, water permeability and plasma membrane properties play a vital role in the optimal protocol for successful cryopreservation. Measuring the water permeability of cells during subzero temperature is essential. So far, there is no...

Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Proceedings of the National Academy of Sciences of the United States of America
Antifreeze proteins (AFPs) are a diverse class of proteins that depress the kinetically observable freezing point of water. AFPs have been of scientific interest for decades, but the lack of an accurate model for predicting AFP activity has hindered ...

Should we freeze it? Agreement on fate of borderline blastocysts is poor and does not improve with a modified blastocyst grading system.

Human reproduction (Oxford, England)
STUDY QUESTION: What is the inter-observer agreement among embryologists for decision to freeze blastocysts of borderline morphology and can it be improved with a modified grading system?

Distinct signals in medial and lateral VTA dopamine neurons modulate fear extinction at different times.

eLife
Dopamine (DA) neurons are to encode reward prediction error (RPE), in addition to other signals, such as salience. While RPE is known to support learning, the role of salience in learning remains less clear. To address this, we recorded and manipulat...

Machine Estimation of Drug Melting Properties and Influence on Solubility Prediction.

Molecular pharmaceutics
There has been much recent interest in machine learning (ML) and molecular quantitative structure property relationships (QSPR). The present research evaluated modern ML-based methods implemented in commercial software (COSMOquick and Molecular Model...

Cryostructuring of Polymeric Systems : Application of Deep Neural Networks for the Classification of Structural Features Peculiar to Macroporous Poly(vinyl alcohol) Cryogels Prepared without and with the Additives of Chaotropes or Kosmotropes.

Molecules (Basel, Switzerland)
Macroporous poly(vinyl alcohol) cryogels (PVACGs) are physical gels formed via cryogenic processing of polymer solutions. The properties of PVACGs depend on many factors: the characteristics and concentration of PVA, the absence or presence of foreig...