Magnification Module

Precision Optics and Maximum Flexibility

The Magnification Module is a key sub-component of the SMILLA HiRes-FIM module, integrating three essential elements for dynamic flow imaging microscopy: the light source, the magnification objective, and the flow cell. This compact module allows users to easily adapt their optical setup by replacing just one component – saving time while maximizing operational flexibility.

Available with 1.25x, 2x, 4x, 10x, and 20x magnification, and from Q1/2026 also with 40x, it is perfectly suited for a wide range of application and imaging needs, covering a total size range from 0.2 µm up to 2mm. The flow cell is built into a solid, exchangeable cartridge, offering protection and fast replacement. Both the magnification module and the flow cell cartridge feature NFC chips for automatic recognition and configuration.

Key components:

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Light Source

Each illumination assembly is optimized for its respective magnification. Light intensity is selectable between calibrated and adjustable modes for maximum flexibility

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Objective

Equipped with high-performance microscope objectives, ensuring superior image clarity and optical accuracy

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Flow Cell

The glass flow cell is embedded in a protective cartridge and features a thin wall design for enhanced clarity. Available with multiple channel depths for different magnifications (40µm*, 50µm, 80µm, 100µm, 300µm, 600µm & 2mm)

*40µm version introduced Q1/2026 with 40X magnification

SMILLA Mag Module
SMILLA Cell
SMILLA Seitenansicht LED Zelle Objektiv Kamera

All modules

SMILLA HiRes FIM Module

HiRes-FIM module

for high-resolution flow imaging microscopy

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SMILLA Lo Module

LO module

for precise, orthogonal light obscuration analysis

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SMILLA Pump Module

Pump module

for a steady and fast sample transport, adaptable to your type of sample and sample volume

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SMILLA Frame Module

Frame module

with the implemented Clean & Rinse system, enabling automated and thorough system cleaning between measurements – ideal for high throughput environments

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