Results 191 to 200 of about 450,897 (302)

Light pipe to the home

open access: yesLight pipe to the home
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Expression, Purification, and Microscopy‐Based Assays for Engineered Recombinant Tyrosinated, Detyrosinated, and Δ2 Human Tubulin

open access: yesCytoskeleton, EarlyView.
ABSTRACT Microtubules are noncovalent polymers assembled from α/β tubulin dimers. Their structure, dynamics and interaction with effectors are regulated through the expression of diverse tubulin isotypes and chemically diverse posttranslational modifications, also known as the “tubulin code.” Understanding the biophysical correlates between tubulin ...
Jiayi Chen   +2 more
wiley   +1 more source

Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning

open access: yesCytoskeleton, EarlyView.
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham   +3 more
wiley   +1 more source

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

open access: yesDeep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera   +2 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

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