A semi-automatic analysis tool for the determination of primary particle size, overlap coefficient and specific surface area of nanoparticles aggregates

[1]  E. Teller,et al.  ADSORPTION OF GASES IN MULTIMOLECULAR LAYERS , 1938 .

[2]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[3]  K. Sing Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity (Recommendations 1984) , 1985 .

[4]  R. Botet,et al.  Aggregation and Fractal Aggregates , 1987 .

[5]  Tiago L. Farias,et al.  Fractal and projected structure properties of soot aggregates , 1995 .

[6]  A. M. Brasil,et al.  a Recipe for Image Characterization of Fractal-Like Aggregates , 1998 .

[7]  M. Andreae,et al.  Comparison of three methods of fractal analysis applied to soot aggregates from wood combustion. , 2006 .

[8]  D. Pui,et al.  Structural Properties and Filter Loading Characteristics of Soot Agglomerates , 2009 .

[9]  A. Coppalle,et al.  Influence of Sampling and Storage Protocol on Fractal Morphology of Soot Studied by Transmission Electron Microscopy , 2010 .

[10]  Olivier Witschger,et al.  A TEM-based method as an alternative to the BET method for measuring off-line the specific surface area of nanoaerosols , 2010 .

[11]  Patricia A Stewart,et al.  The Diesel Exhaust in Miners study: a cohort mortality study with emphasis on lung cancer. , 2012, Journal of the National Cancer Institute.

[12]  F. Migliorini,et al.  Application of the Hough transform for the automatic determination of soot aggregate morphology. , 2012, Applied optics.

[13]  E. Frejafon,et al.  Particle Sampling by TEM Grid Filtration , 2013 .

[14]  T. Macé,et al.  Size characterization of airborne SiO2 nanoparticles with on-line and off-line measurement techniques: an interlaboratory comparison study , 2013, Journal of Nanoparticle Research.

[15]  C. Rozé,et al.  Numerical investigation of the possibility to determine the primary particle size of fractal aggregates by measuring light depolarization , 2013 .

[16]  Sanghoon Kook,et al.  Uncertainty in Sampling and TEM Analysis of Soot Particles in Diesel Spray Flame , 2013 .

[17]  F. Ouf,et al.  Pressure drop model for nanostructured deposits , 2014 .

[18]  Jeroen Lammertyn,et al.  Semi-automatic size measurement of primary particles in aggregated nanomaterials by transmission electron microscopy , 2014 .

[19]  C. Rozé,et al.  Automated Determination of Aggregate Primary Particle Size Distribution by TEM Image Analysis: Application to Soot , 2014 .

[20]  S. Matsumoto,et al.  Clogging of HEPA Filters by Soot during Fire Events in Nuclear Fuel Cycle Facilities , 2014 .

[21]  S. Pontreau,et al.  Clogging of Industrial High Efficiency Particulate Air (HEPA) Filters in Case of Fire: From Analytical to Large-Scale Experiments , 2014 .

[22]  G. Grévillot,et al.  Modelling of water adsorption–condensation isotherms on beds of nanoparticles , 2014 .

[23]  Steven N. Rogak,et al.  Observations of a Correlation Between Primary Particle and Aggregate Size for Soot Particles , 2014 .

[24]  Alexis Coppalle,et al.  Effects of multiple scattering on radiative properties of soot fractal aggregates , 2014 .

[25]  Qing Nian Chan,et al.  Automated Detection of Primary Particles from Transmission Electron Microscope (TEM) Images of Soot Aggregates in Diesel Engine Environments , 2015 .

[26]  Fengshan Liu,et al.  On the radiative properties of soot aggregates part 1: Necking and overlapping , 2015 .

[27]  Qing Nian Chan,et al.  Automated determination of size and morphology information from soot transmission electron microscope (TEM)-generated images , 2016, Journal of Nanoparticle Research.

[28]  P. Lemaître,et al.  Measurement and modeling of pressure drop of HEPA filters clogged with ultrafine particles , 2016 .

[29]  Steven N. Rogak,et al.  Automated primary particle sizing of nanoparticle aggregates by TEM image analysis , 2016 .

[30]  Fengshan Liu,et al.  On the radiative properties of soot aggregates – Part 2: Effects of coating , 2016 .

[31]  B. Rothen‐Rutishauser,et al.  Diesel exhaust: current knowledge of adverse effects and underlying cellular mechanisms , 2016, Archives of Toxicology.

[32]  Otmar Schmid,et al.  Surface area is the biologically most effective dose metric for acute nanoparticle toxicity in the lung , 2016 .

[33]  P. Anderson,et al.  Repeatability and reproducibility of TEM soot primary particle size measurements and comparison of automated methods , 2017 .

[34]  Hossein Khodabakhshi Rafsanjani,et al.  An automatic algorithm for determination of the nanoparticles from TEM images using circular hough transform. , 2017, Micron.

[35]  O. Schmid,et al.  Corrigendum to “Surface area is the biologically most effective dose metric for acute nanoparticle toxicity in the lung” [Journal of Aerosol Science 99 (2016) 133–143] , 2017 .