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Ix73 inverted fluorescence microscope

Manufactured by Hamamatsu Photonics

The IX73 inverted fluorescence microscope is a high-performance imaging system designed for a wide range of applications. It features a stable and durable construction, providing reliable performance for routine and advanced microscopy tasks. The IX73 is equipped with a fluorescence illumination system, allowing for the observation and analysis of fluorescently labeled samples. This microscope is capable of capturing high-quality images and data, making it a versatile tool for researchers and scientists working in various fields.

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3 protocols using ix73 inverted fluorescence microscope

1

Quantifying Bacterial Adhesion via Fluorescence Microscopy

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The adherence of bacteria emitting green fluorescence was recorded with the Olympus IX73 inverted fluorescence microscope equipped with the UPlanFL N 10x/0.30 objective and a Hamamatsu Orcaflesh 2.8 CMOS digital camera. The field of view was 696.2 x 522.2 μm, with a resolution of 0.363 μm per pixel. Adherent bacteria were recorded in time-lapse digital videos using the Olympus cellSens Dimension 1.18 software. The videos were recorded using a shutter speed at which floating bacteria were blurred out, whereas surface-bound bacteria were detected as lighting spots. The shutter speed was adjusted to match the flow velocity, and ranged from 500 ms for shear stress of 0.01 pN μm-2 to 20 ms for shear stress above 1.15 pN μm-2. To count the bound bacteria in each recorded frame, the intensity threshold was adjusted manually so that fluorescent bacteria contrasted with the dark background. Bacterial counts and trajectories were determined using the ‘Count and Measure’ package in Olympus cellSens and the spots tracking command in Imaris x64 Bitplane AG software, respectively. The time-lapse videos were converted to the mp4 format using Kdenlive.
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2

Quantitative Analysis of Microsphere Dynamics

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For both single-particle tracking and DDM experiments, we image the microspheres using an Olympus IX73 inverted fluorescence microscope with a 20× 0.4 NA objective and a Hamamatsu ORCA-Flash 2.8 CMOS camera (320 nm/pixel). For SPT, we collect 20 1920×1440 pixel videos of 2000 frames at 10 fps for each condition. For each of the videos, we observe >40 trackable particles, producing a total of >800 particles tracked. For DDM, we collect 12 512×512 pixel videos of 5000 frames at 10 fps across two samples. Videos are analyzed by examining regions of interest (ROI) of 256×256 pixels. For each sample condition, the experiment is carried out on two independently prepared samples. The sample-to-sample variation we observe and measure is indistinguishable from video-to-video variation within a single sample. Error bars presented throughout are determined by analyzing 3 random subsets of videos from each sample and calculating the standard error in values from all 6 subsets (3 from each sample). We see no statistically significant differences in the magnitudes or distributions of these subset values when comparing the two different samples.
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3

Microfluidic Mixing Characterization and Digital Waveform Generation

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Two syringe pumps (Fusion 200, Chemyx Inc., Stafford, TX) were used to infuse fluorescein and distilled H2O through one inlet of the chip, respectively. The glass capillary was vibrated by the piezoelectric transducer. To determine the optimal frequency for mixing, we swept the excitation frequency from 10 kHz to 100 kHz in 100 Hz increment, and the fluorescent signals in the channel were monitored using an Olympus IX-73 inverted fluorescence microscope with a Hamamatsu sCMOS camera. To investigate factors that influence the mixing performance, different flow rates, driving voltages and channel dimension were applied to this system. Fluorescence signals were monitored and analyzed using Image J (v1.51s). Mixing performance was then characterized by analyzing the mixing index, mixing time and mixing length.
To test the generation of digital chemical waveforms, we applied a pulsing square waveform to the transducer, with periods of 1 s, 2 s, 5 s and 10 s. The flow rate was set as 30 μL/min and the input voltage is 4.0 Vpp. Detection window was set at the downstream of the glass capillary, and the fluorescent signal was monitored over time.
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