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The NanoAssemblr® Benchtop has been discontinued. To advance transformative medicines, please see our NanoAssemblr® Ignite™.
NanoAssemblr Benchtop
Polymeric Nanoparticle & Liposome
Overcome key challenges
in nanomedicine development
with the Benchtop.
outstanding reproducibility

Computer control removes batch-to-batch and user variability.

intuitive workflow

Advanced microfluidics is simplified with easy connections and visual software.

controlled assembly

Tune particle size with precise control over fluid flow rates.


Formulate small molecules, peptides and, nucleic acids into lipid, polymer or hybrid nanoparticles, and more.

speedy and efficient

Formulation runs require less than a minute. 30 - 40 formulations can be completed in a day for rapid optimization.


Easily scale between 1mL and 15mL formulations on the Benchtop. Optimized formulations can be transferred to advanced preclinical and clinical scale with the Blaze™ and GMP Systems.

Easily optimize
nanoparticle size
Use simple software parameters such as Total Flow Rate (TFR) and Flow Rate Ratio (FRR) to fine tune particle size.
Optimize liposomal drug delivery systems Optimize Liposomal Drug Delivery
Develop polymeric drug delivery systems Develop Polymeric Drug Delivery
Minimizing process variability isolates the effects of materials, solvent choice, and concentrations on desired outcomes, enabling rational formulation design.
Batch-to-Batch Reproducibility from Independent UsersReproducibility: Independent Users

Isolate Effects of Formulation Parameters 

Isolate: Formulation Parameters




Advanced Technology for
Advanced Nanomedicines
Non-turbulent microfluidic mixing provides unparalleled control over nanoparticle assembly that is scalable from discovery to the clinic.


An aqueous phase and a miscible solvent containing dissolved nanoparticle precursors are injected into each inlet of the NanoAssemblr cartridge


Under laminar flow, the two phases do not immediately mix


Microscopic features engineered into the channel reproducibly control the mixing of the two streams


Rapid, controlled, homogenous mixing produces homogeneous nanoparticles
NanoAssemblr Technology




NanoAssemblr Technology


Benchtop Demo

Benchtop Cartridges
NanoAssemblr® Benchtop cartridges are semi-disposable and compatible with a wide range of solvents to make a diverse array of nanomedicine formulations.
NanoAssemblr Benchtop Cartridge
Benchtop Brochure
NanoAssemblr Benchtop BrochureThe NanoAssemblr® Benchtop system is designed for rapid prototyping of novel nanoparticle formulations of 1 to 15mL, that would be difficult to make with alternative manufacturing methods. The software enables the control of input mixing parameters for optimizing particle characteristics such as size and encapsulation efficiency.

Download Brochure

Resource Center

Publication - Abstract

September 15, 2021


Bacteria Biohybrid Oral Vaccines for Colorectal Cancer Treatment Reduce Tumor Growth and Increase Immune Infil...

M. Naciute, T. Kiwitt, R.A. Kemp,and S. Hook

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Publication - Abstract

August 19, 2021

Microfluidic Formulation of DNA-Loaded Multicomponent Lipid Nanoparticles for Gene Delivery

E. Quagliarini, S. Renzi, L. Digiacomo, F. Giulimondi, B. Sartori, H. Amenitsch, V. Tassi...

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Publication - Abstract

August 11, 2021

Advanced Science

Humanized Biomimetic Nanovesicles for Neuron Targeting

A. Zinger, C. Cvetkovic, M. Sushnitha, T. Naoi, G. Baudo, M. Anderson, A. Shetty, N. Basu,...

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Publication - Abstract

May 13, 2021

Nature Communications

Tissue-specific Activation of Gene Expression by the Synergistic Activation Mediator (SAM) CRISPRa System in M...

C. Hunt, S.A. Hartford, G. Gong, et al

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Publication - Abstract

April 20, 2021

ACS Biomaterials Science & Engineering

Manual Versus Microfluidic-Assisted Nanoparticle Manufacture: Impact of Silk Fibroin Stock on Nanoparticle Cha...

J.I. Solomun, J.D. Totten, T. Wongpinyochit, A.J. Florence and F.P. Seib

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Publication - Abstract

April 08, 2021


Sesquiterpene-Loaded Co-Polymer Hybrid Nanoparticle Effects on Human Mast Cell Surface Receptor Expression, Gr...

N. Arizmendi, H. Qian, Y. Li and M. Kulka

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