polystyrene (ps) standard particles (Bangs Laboratories)
90
Structured Review
Bangs Laboratories
polystyrene (ps) standard particles
Polystyrene (Ps) Standard Particles, supplied by Bangs Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/polystyrene+(ps)+standard+particles/polystyrene+particles/pm38609058-67-17-27
Average 90 stars, based on 1 article reviews
Polystyrene (Ps) Standard Particles, supplied by Bangs Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/polystyrene+(ps)+standard+particles/polystyrene+particles/pm38609058-67-17-27
Average 90 stars, based on 1 article reviews
polystyrene (ps) standard particles - by Bioz Stars,
2026-09
90/100 stars
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Viscosity:Article Title: Critical parameters to standardize the size and concentration determination of nanomaterials by nanoparticle tracking analysis. Article Snippet: The size and concentration are critical for the diagnostic and therapeutic applications of nanomaterials but the accurate measurement remains challenging.. Nanoparticle tracking analysis (NTA) is widely used for size and concentration determination.. However, highly repeatable standard operating procedures (SOPs) are absent. Article Title: Automatic classification of acute and chronic myeloid leukemic cells with wide-angle label-free static cytometry Article Snippet: Standard polystyrene-divinylbenzene (PS-DVB) microspheres ( Article Title: Gauging colloidal and thermal stability in human IgG1-sugar solutions through diffusivity measurements. Article Snippet: Sugar dn/dc (M -1 ) RI at 500 mM Glucose 0.0263 1.3475 Mannitol 0.026 1.3472 Sorbitol 0.0262 1.3476 Sucrose 0.05 1.3596 Trehalose 0.05 1.3603 Xylitol 0.02 1.3446 Viscosity of Sugar Solutions The dynamic viscosity η of buffer solutions with 500 mM sugar was determined by measuring the diffusivity D of stably dispersed 200 nm Article Title: Light scattering imaging modal expansion cytometry for label-free single-cell analysis with deep learning. Article Snippet: Background and Objective: Single-cell imaging plays a key role in various fields, including drug development, disease diagnosis, and personalized medicine.. To obtain multi-modal information from a single-cell image, especially for label-free cells, this study develops modal expansion cytometry for label-free single-cell analysis.. Methods: The study utilizes a deep learning-based architecture to expand single-mode light scattering images into multi-modality images, including bright-field (non-fluorescent) and fluorescence images, for label-free single-cell analysis. Stable Transfection:Article Title: Critical parameters to standardize the size and concentration determination of nanomaterials by nanoparticle tracking analysis. Article Snippet: The size and concentration are critical for the diagnostic and therapeutic applications of nanomaterials but the accurate measurement remains challenging.. Nanoparticle tracking analysis (NTA) is widely used for size and concentration determination.. However, highly repeatable standard operating procedures (SOPs) are absent. Article Title: Automatic classification of acute and chronic myeloid leukemic cells with wide-angle label-free static cytometry Article Snippet: Standard polystyrene-divinylbenzene (PS-DVB) microspheres ( Article Title: Gauging colloidal and thermal stability in human IgG1-sugar solutions through diffusivity measurements. Article Snippet: Sugar dn/dc (M -1 ) RI at 500 mM Glucose 0.0263 1.3475 Mannitol 0.026 1.3472 Sorbitol 0.0262 1.3476 Sucrose 0.05 1.3596 Trehalose 0.05 1.3603 Xylitol 0.02 1.3446 Viscosity of Sugar Solutions The dynamic viscosity η of buffer solutions with 500 mM sugar was determined by measuring the diffusivity D of stably dispersed 200 nm Article Title: Light scattering imaging modal expansion cytometry for label-free single-cell analysis with deep learning. Article Snippet: Background and Objective: Single-cell imaging plays a key role in various fields, including drug development, disease diagnosis, and personalized medicine.. To obtain multi-modal information from a single-cell image, especially for label-free cells, this study develops modal expansion cytometry for label-free single-cell analysis.. Methods: The study utilizes a deep learning-based architecture to expand single-mode light scattering images into multi-modality images, including bright-field (non-fluorescent) and fluorescence images, for label-free single-cell analysis. |