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Am7915mztl

Manufactured by Dino-Lite

The AM7915MZTL is a digital microscope from Dino-Lite. It has a 5.0 megapixel sensor and can capture images and videos. The microscope supports magnification from 10x to 220x.

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3 protocols using am7915mztl

1

Rheological and Wetting Characterization of Ink

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The ink rheology was characterised using a shear rheometer (Bohlin Gemini HR Nano). Viscometry measurements were made using a 15 mm diameter serrated plate system with 200 µm gap size and shear rates from 0.1 s−1 to 500 s−1. Each measurement was repeated three times. The ink contact angle was characterised by taking side view optical images of ink droplets ~6 µL using a USB microscope (Dino-lite AM7915MZTL). The contact angles of five ink droplets were measured for each type of ink. Sedimentation rates were measured by taking a time-lapse of ink droplets ~6 µL until they totally dry.
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2

Silk Fibroin Hydrogel Imaging

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Optical images of silk fibroin hydrogels were captured using either digital microscopy (AM7915MZTL, Dino-Lite) or smartphones. Fluorescence images of silk fibroin hydrogels were captured under 300 nm ultraviolet illumination of a transilluminator (FBTI-88, Fisher Scientific). Birefringence images were captured using polarized optical microscopy (Eclipse E200POL, Nikon) equipped with a first-order red retardation plate. The cell-laden hydrogels were imaged in a BZ-X700 microscope (Keyence, IL) for live/dead staining, as well as in a Leica SP8 confocal microscope (Leica Microsystems) for F-actin and the autofluorescence of the silk fibroin. Images were processed using ImageJ (NIH).
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3

Betaine Effects on Worm Behavior

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Four 1-d adult worms were placed into the center of the food patch on 55-mm NGM plates seeded with 4 μL OP50 with or without 10 mM betaine 2 h before. Fifteen-min videos were taken with DinoLite (DinoLite, model no. AM7915MZTL) cameras at 40X magnification and worm behavior analyzed with tierpsy (43 (link)). Where necessary, trajectories for each worm were manually joined within the tierpsy GUI, the summary features for each trajectory were then exported, and statistically significant differences were calculated for four basic features: motion_mode_forward_fraction, motion_mode_backward_fraction, speed_10th, and speed_50th.
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