Journal: Frontiers in Neural Circuits

Article Title: Dendritic Architecture Predicts in vivo Firing Pattern in Mouse Ventral Tegmental Area and Substantia Nigra Dopaminergic Neurons

doi: 10.3389/fncir.2021.769342

Figure Lengend Snippet: Reconstruction and correlation between morphological characteristics and cell body localization. (A) Identified SNc and VTA DA neuron 3D reconstructions. Arranged in columns, one SNc, and two VTA DA neurons are shown from the frontal (top), lateral (middle), and dorsal (bottom) views. Axons are shown in black in all panels and pinpointed with an *. Brain diagrams to the left indicate hemisphere depicted (in gray) and view. (B1–D3) Correlations between physical (dendritic length, convex hull) and topological (number of dendritic segments) measures and cell body position of 3D reconstructed SNc and VTA DA neurons. A positive correlation was found between total dendritic length and DV coordinates of VTA neurons (B2) , but this was not observed for SNc (B1) or all DA neurons pooled together (B3) . Number of dendritic segments and DV coordinates were positively correlated in VTA (C2) , and when all neurons were pooled together (C1) with no correlation observed for SNc DA neurons (C2) . No correlation was found between convex hull volume and DV position with all DA neurons (D1) , or for SNc (D2) , VTA (D3) for all DA neurons (D1) . Figure only shows correlations between morphology and DV position. Refer to the Results section and for correlations between morphology and mediolateral (ML) and anteroposterior (AP) axis positions.

Article Snippet: For the 13 VTA and 12 SNc DA neurons, fluorescence imaging for all neurobiotin-labeled profiles across sections was performed with one of the following three laser-scanning confocal microscopes: Nikon Eclipse C2, using the NIS-Elements C program (Nikon software) to acquire and export images (12 SNc and 3 VTA neurons), Zeiss LSM 700, using the ZEN2012 program (Zeiss software) (2 VTA neurons), and Olympus FV1000 using the Fluoview program (Olympus software) (7 VTA neurons).

Techniques:

Journal: Frontiers in Neural Circuits

Article Title: Dendritic Architecture Predicts in vivo Firing Pattern in Mouse Ventral Tegmental Area and Substantia Nigra Dopaminergic Neurons

doi: 10.3389/fncir.2021.769342

Figure Lengend Snippet: Correlation between in vivo electrophysiological and morphological characteristics of SNc and VTA DA neurons. (A1,B1,C1) No significant correlation between dendritic length and firing rate was found for (A1) SNc, (B1) VTA, or all (C1) DA neurons. (A2,B2,C2) . No significant correlations were found between CV and dendritic length for (A2) SNc, (B2) VTA, or all (C2) DA neurons. No significant correlation between number of dendritic segments and firing rate was observed for (D1) SNc, (E1) VTA, or all (F1) DA neurons. (D2) No correlation was found between CV and number of dendritic segments for SNc neurons. On the other hand, a negative correlation was found for (E2) VTA and for (F2) all neurons. Finally, no correlation between convex hull volume and firing rate was found for (G1) SNc, (H1) VTA, or all (I1) DA neurons. Negative correlation was found between convex hull volume and CV in (G2) SNc neurons, but not in panel (H2) VTA or all (I2) DA neurons. See Results and for further physiological and anatomical correlations.

Article Snippet: For the 13 VTA and 12 SNc DA neurons, fluorescence imaging for all neurobiotin-labeled profiles across sections was performed with one of the following three laser-scanning confocal microscopes: Nikon Eclipse C2, using the NIS-Elements C program (Nikon software) to acquire and export images (12 SNc and 3 VTA neurons), Zeiss LSM 700, using the ZEN2012 program (Zeiss software) (2 VTA neurons), and Olympus FV1000 using the Fluoview program (Olympus software) (7 VTA neurons).

Techniques: In Vivo

Journal: Nature Communications

Article Title: Hybrid lipid-AuNP clusters as highly efficient SERS substrates for biomedical applications

doi: 10.1038/s41467-024-52205-9

Figure Lengend Snippet: a Representative confocal microscope images of SHSY-5Y cells incubated with free CT-B, CT-B- LipoGold, and bare LipoGold. Scale bar is 50 μm in all cases; ( b ) Left panel shows the bright field image of the analyzed SH-SY5Y cells treated with LipoGold(RR6) for 90 min. The green rectangle represents the scanned area with Raman confocal microscopy. Right panel shows the SERS map generated exploiting the intensity at 2210 cm −1 . Scalebar is 10 μm in all cases. Measurements were performed with the following parameters: laser 638 nm, 20 mW laser power, 30 s acquisition time, 1 accumulation, 272 data points, Y step 2 μm and X step 3 μm, objective magnification: 60x. c Representative SERS spectra acquired from cells in ( b ). Yellow spectrum corresponds to x = −7.5 μm, y = −5 μm (yellow dot); blue spectrum corresponds to x = −15 um, y = 22 μm (blue dot); green spectrum corresponds to x = 10 um; y = 0 μm (green dot). The representative microscopy experiments have been repeated two times. Source data are provided as a file.

Article Snippet: The analysis of blue and green fluorescence was performed on a Nikon Eclipse TE300 C2 confocal laser scanning (CLSM) (Nikon, Japan) equipped with a Nikon a 100× Plan Apo lambda oil immersion objective after excitation with Coherent CUBE (diode 405 nm) and Melles Griot (Argon 488 nm) lasers, respectively.

Techniques: Microscopy, Incubation, Confocal Microscopy, Generated