Automated Imaging Apparatus
Automated Imaging Apparatus - Related Videos
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Novel Apparatus and Method for Drug Reinforcement
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Cited by 9 •
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Operant drug self-administration and conditioned place preference (CPP) procedures are expansively used in research to model various components of drug reinforcement, consumption, and addiction in humans. In this report, we combined traditional CPP and self-administration methods as a novel approach to studying drug reinforcement and addiction in rats.
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Golgi Apparatus
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2023
Properly folded and assembled proteins are selectively packaged into vesicles that exit the ER. Motor proteins transport these vesicles to the Golgi apparatus for adding modifications that make these proteins functional at their destination. The Golgi apparatus is a eukaryotic organelle that has a distinctive ribbon-like appearance. It is a primary sorting and dispatch station for cargo arriving from the ER. Newly arriving vesicles enter the cis face of the Golgi, closest to the ER, and are...
01:49
Golgi Apparatus
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2026
As they leave the Endoplasmic Reticulum (ER), properly folded and assembled proteins are selectively packaged into vesicles. These vesicles are transported by microtubule-based motor proteins and fuse together to form vesicular tubular clusters, subsequently arriving at the Golgi apparatus, a eukaryotic endomembrane organelle that often has a distinctive ribbon-like appearance.The Golgi apparatus is a major sorting and dispatch station for the products of the ER. Newly arriving vesicles enter...
06:27
Automated Analysis of C. elegans Fluorescence Images using SegElegans
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Here we provide instructions on effectively utilizing SegElegans, a deep learning system we developed for the automated segmentation of individual worms in widefield microscopy images, for subsequent use in image analysis software such as ImageJ. We provide ways to use the system both online and offline.
06:49
Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
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Cited by 28 •
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Here a novel region of interest analysis protocol based on sorting best-fit ellipses assigned to regions of positive signal within two-dimensional time lapse image sequences is demonstrated. This algorithm may enable investigators to comprehensively analyze physiological Ca2+ signals with minimal user input and bias.
FAQs
The motorized stage positions the microscope at defined fields, while autofocus helps maintain usable image quality as the system moves between locations or imaging times. Together, these components support consistent acquisition across multiwell plates and longitudinal experiments. This reduces dependence on manual repositioning and helps researchers compare cell behavior or treatment responses across many samples.
Controlled illumination helps the apparatus acquire images under consistent imaging conditions, while analysis software converts those images into measurable data. The software can quantify cell number, morphology, fluorescence, or movement rather than relying only on visual inspection. This combination makes microscopy-based experiments more standardized and supports reproducible comparisons among cancer treatments or experimental conditions.
Depending on the experiment, the system can measure cell number, morphology, fluorescence, and movement. These readouts provide different views of cancer-cell behavior: counts can indicate proliferation, morphology can reveal treatment-associated changes, fluorescence can represent an image-based signal, and movement can support migration studies. Quantifying several features can strengthen interpretation of cellular responses.
A typical workflow establishes the imaging locations, uses the microscope and motorized stage to capture selected fields, and applies autofocus and controlled illumination during acquisition. Images may be collected across a multiwell plate or repeatedly over time. Image-analysis software then extracts defined cellular measurements, allowing the resulting data to be compared across samples or treatments.
Researchers may use the approach for high-content screening, tumor-cell proliferation studies, migration experiments, drug-response measurements, or longitudinal imaging of cancer models. It is especially useful when experiments require many fields, wells, or time points. Automated acquisition and analysis allow these studies to scale beyond a small number of manually examined images.
Automation improves consistency by applying defined imaging and analysis procedures across samples, treatment groups, and repeated observations. The resulting measurements can support clearer comparisons of cell number, morphology, fluorescence, or movement. In cancer research, this reproducibility helps evaluate drug responses and may reveal cellular patterns associated with disease progression or therapeutic efficacy.