Why does colocalization of brightfield and darkfield signals matter for CNT validation?

Colocalization of strong absorption (darkfield) and scattering (brightfield) signals enables specific detection of carbon nanotubes by distinguishing them from cellular autofluorescence or nonspecific binding, supporting confident target validation in nanomaterial studies.

How does isolating mean pixel intensity in brightfield enable quantitative uptake measurement?

Measuring mean pixel intensity in the brightfield channel quantifies light absorption by carbon nanotubes, with signal intensity correlating to intracellular nanotube concentration, enabling dose-dependent uptake analysis across experimental conditions.

The ratio of black pixel area in the membrane-specific mask to the total cell mask quantifies the proportion of carbon nanotubes associated with the plasma membrane versus internalized compartments, informing mechanisms of cellular association.

The ratio of black pixel area in the membrane-specific mask to the total cell mask quantifies the proportion of carbon nanotubes associated with the plasma membrane versus internalized compartments, informing mechanisms of cellular association.

Analyzing 7,000–10,000 cells per condition ensures statistical robustness, allowing toxicology, pharmacology, and formulation teams to rely on reproducible uptake data for consistent risk assessment and decision-making.

Analyzing 7,000–10,000 cells per condition ensures statistical robustness, allowing toxicology, pharmacology, and formulation teams to rely on reproducible uptake data for consistent risk assessment and decision-making.

Establishing linear correlation between brightfield and darkfield masks via dot plot analysis is necessary to validate that both signals originate from the same nanotube population, ensuring accurate quantification before downstream application.

Establishing linear correlation between brightfield and darkfield masks via dot plot analysis is necessary to validate that both signals originate from the same nanotube population, ensuring accurate quantification before downstream application.

Çokspektrumlu Görüntüleme Sitometrisi ile Hücreleri yerelleştirme ve Karbon nanotüpler Bağıl Kantitasyonu

5.9K görüntüleme

18 kez atıf

14:09 dk

12 Aralık 2013

10.3791/50566-v

12 Aralık 2013

5.9K görüntüleme

Iris Marangon^*¹ , Nicole Boggetto^*² , Cécilia Ménard-Moyon³ , Nathalie Luciani¹ , Claire Wilhelm¹ , Alberto Bianco³ , Florence Gazeau¹

¹Laboratoire Matière et Systèmes Complexes (MSC), CNRS/Université Paris Diderot, ²ImagoSeine BioImaging Core Facility, Institut Jacques Monod, CNRS/Université Paris Diderot, ³Laboratoire d'Immunopathologie et Chimie Thérapeutique, CNRS/Institut de Biologie Moléculaire et Cellulaire

^* These authors contributed equally

Bu çalışmada temel amaç, karbon nanotüplerin (CNT'ler) hücresel alımını ve nihai ekzositozunu izlemekti. Bu perspektiften bakıldığında, burada multispektral görüntüleme akış sitometrisini kullanan, istatistiksel olarak anlamlı sayıda hücrede CNT'lerin nicelleştirilmesine ve lokalizasyonuna izin veren benzersiz bir yöntem önerdik.