Cephla

Our Core. The Squid +

Squid+ is a fully motorized microscope with a wide field of view (FN 25/26.5), fast laser  autofocus, and 5-channel LED or laser epi-illumination for high-performance imaging.

Squid + Core Squid + FL Squid Lab

Laser autofocus

Motorized objective turret

Cameras of your choice

Motorized filter wheels

Stage top incubator options

Auto immersion media dispensing

5 channel LED epi-illumination

5 channel laser epi-illumination

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Integrated 
Systems & Solutions

Confocal Imaging

Fast, high-res 3D scans with spinning  disk & Line ReScan. Patterned  illumination (coming soon)

Spatial Biology

Automated spatial omics  with integrated fluidics system

Confocal Imaging

Robotic plate loading for large-scale,  multi-well imaging

Confocal Imaging

Seamless integration  with SiLA2 drivers

Open Software. 
100% Free.

Control our hardware and third-party tools —
 from cameras to robots — for fully automated imaging

Andrew Lu

from Elowitz Lab, Caltech

«I have used quite a lot of different imaging softwares in the past year. Yours was really excellent and easy to use. Just enough detail and visually easy to navigate.»

Next-Gen Labs,
Powered by Cephla

Cephla builds custom platforms that help labs automate, scale, and run connected “lab-in-a-loop” workflows. With smart hardware and open-source tools,  we accelerate scientific innovation and discovery

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Example Applications

High Content Screening

3D Cell Culture

Expansion Microscopy Magnify

Spatial Biology

Optical Pooled Screen

Live Cell Imaging. Credit: Tamas, UCLA

Microarrays

High Content Screening

3D Cell Culture

Expansion Microscopy Magnify

Spatial Biology

Optical Pooled Screen

Live Cell Imaging. 
Credit: Tamas, UCLA

Microarrays

High Content Screening

Recent Publications  from Cephla Users

Single-Frey, Benjamin, et al. "Single-cell morphological profiling reveals insights into cell death." bioRxiv (2025): 2025-01.cell morphological profiling reveals insights into cell death

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Li, H., et al. (2025). Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic Applications. medRxiv.

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Zhang, Nicholas, et al. "Graph-Based Spatial Proximity of Super-Resolved Protein–Protein Interactions Predicts Cancer Drug Responses in Single Cells" Cellular and Molecular Bioengineering, 17, 467–490, (2024).

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Hall, R. Nelson, et al. "A genetic and microscopy toolkit for manipulating and monitoring regeneration in Macrostomum lignano." Cell Reports 43.11 (2024).

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Zhang, Qing, et al. "Ice gliding diatoms establish record-low temperature limit for motility in a eukaryotic cell." bioRxiv (2024): 2024-11.

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Larson, Adam G., et al. "Inflation-induced motility for long-distance vertical migration." Current Biology 34.22 (2024): 5149–5163.

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Ogunlade, B., et al. (2024). Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy. PNAS. DOI:10.1073/pnas.2315670121

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Dai, T., et al. (2023). Culture-Independent Multiplexed Detection of Drug-Resistant Bacteria Using Surface-Enhanced Raman Scattering. ACS sensors, 8(8), 3264-3271. DOI: 10.1021/acssensors.3c01345

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