Confocal microscopy 3D imaging of diesel particulate matter

To date, diesel particulate matter (DPM) has been described as aggregates of spherule particles with a smooth appearing surface. We have used a new colour confocal microscope imaging method to study the 3D shape of diesel particulate matter (DPM); we observed that the particles can have sharp jagged appearing edges and consistent with these findings, 2D light microscopy demonstrated that DPM adheres to human lung epithelial cells. Importantly, the slide preparation and confocal microscopy method applied avoids possible alteration to the particles' surfaces and enables colour 3D visualisation of the particles. From twenty-one PM particles, the mean (standard deviation) major axis length was 5.6 (2.25) μm with corresponding values for the minor axis length of 3.8 (1.25) μm. These new findings may help explain why air pollution particulate matter (PM) has the ability to infiltrate human airway cells, potentially leading to respiratory tract, cardiovascular and neurological disease

The classification of some plants subjected to disturbance factors (grazing and cutting) based on ecological strategies in Turkey

WOS: 000427112700010The effect of disturbance factors such as grazing and cutting were investigated in some plants in central Black Sea Region of Turkey using Grime's CSR strategies and Ellenberg's indicator values (EIVs). Grime's CSR strategies were also determined by Pierce et al.'s (Funct Ecol 27:1002-1010, 2013) scheme because there were some inconsistencies between Grime's and Pierce et al.'s schemes. Secondary strategies in the study area found to be dominant and the dominance of secondary strategies are consistent with "intermediate disturbance hypothesis". All the EIVs were found to be significantly different in grazed vs non-ungrazed and cutted vs uncutted areas. PCA diagram showed that ungrazed and cutted areas are associated with EIVR, while grazed and uncutted plots are associated with EIVL, EIVM, EIVN and EIVT.Amasya UniversityAmasya University [FMB-BAP-14-067]; Amasya University Research FundAmasya UniversityThis study is supported by Amasya University Project number (FMB-BAP-14-067). Thank you Amasya University Research Fund for their support