Modular Microscopes
BXC Series
The BXC series offers the high-quality microscope components you know and trust from Evident, but in a compact, mountable, and configurable format. These off-the-shelf optical-mechanical assemblies are ready to be designed into your scientific instruments and devices.
BXFM
The BXFM is our most versatile focus mount which accepts numerous optical and lighting components. The ability to utilize high performance vertical illuminators provides the utmost optical versatility for numerous applications. The focus mount can be easily adapted to an optical bench, plain stand, or integrated into your system due to its compact design and convenient mounting surface.
BXFM-S
The BXFM-S is a cost-effective, space-saving focus mount for brightfield microscopy. The focus mount can be used for optical bench, plain stand, or system integration due to its compact design and convenient mounting surface. Accepts a variety of objectives having standard or long working distances.
Related Applications
3D Spatial Analysis of High-Throughput Drug Screening
Assessing a drug’s performance using three-dimensional cancer spheroids is important because the spheroids reflect the complicated tumor microenvironment. This enables researchers to evaluate a drug’s effectiveness under parameters that more closely resemble a tumor’s natural environment. To perform high-throughput drug screening using spheroids, researchers must use a simple protocol, semi-automated high-speed imaging, and multi-well 3D analysis.
Circuit Pattern Inspection on Wafer Samples
When microscopic observation of both the circuit pattern and color of a wafer sample is required, the conventional method calls for darkfield illumination for the former and brightfield illumination for the latter, with repeated switching between the two techniques. This method of observation is time consuming because image acquisition is required for each technique when creating a report.
Perform Accurate and Efficient Microscopy Image Analysis Using TruAI based on Deep Learning
Experiments often require data from microscope images. For accurate image analysis, segmentation is important to extract the analysis target area from the image. A common segmentation method is to apply thresholds to the image intensity values or color.