Scientific Imaging Consulting

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We build intelligent, AI-enabled pipelines that transform data chaos into clear, actionable results through custom algorithm development and effective microscopy data analysis.

We go beyond off-the-shelf solutions by developing AI-enabled pipelines tailored to your needs. Our expertise lies in custom algorithm development, allowing us to design, train, and validate bespoke AI models for cell detection and segmentation. Additionally, we can expertly fine-tune established models like Cellpose and StarDist to enhance your microscopy data analysis.

We specialize in microscopy data analysis, utilizing AI-enabled pipelines to enhance our processes. Our expertise ranges from removing image artifacts, like striping, to advanced image deconvolution. Additionally, we focus on custom algorithm development, having even created accelerated algorithms for systems with limited computing power.

Storing massive datasets is a challenge in itself, especially when it comes to microscopy data analysis. We provide strategic consulting on modern data storage formats, like OME-Zarr, and compression strategies, such as JPEG 2000, to balance image fidelity with data size. Additionally, our expertise extends to developing AI-enabled pipelines and custom algorithm development to optimize these processes.

We are proficient in Python, R, and scientific computing in general, enabling us to develop AI-enabled pipelines and custom algorithms for your unique data challenges. Our expertise allows us to translate, adapt, and implement cutting-edge methods from scientific literature, including advanced microscopy data analysis.

We have a deep, long-standing strategic relationship with this industry leader in scientific imaging and neuroinformatics software. This collaboration allows us to leverage AI-enabled pipelines and engage in custom algorithm development, giving us an unparalleled ability to develop, deliver, and manage cutting-edge platforms for microscopy data analysis in neuroscience and whole slide imaging.

We partner with ScientiaLux for expert technical and strategic insights, particularly in areas such as AI-enabled pipelines, custom algorithm development, and microscopy data analysis. You can learn more about their integrated research solutions here.

We collaborate with Advanced Research Consulting to assist companies and researchers in implementing advanced hardware and software solutions, including AI-enabled pipelines and custom algorithm development, to ensure their endpoints meet the FAIR standard for microscopy data analysis.

Leveraging over 25 years of experience to lead complex scientific technologies from concept to market, including AI-enabled pipelines and custom algorithm development for effective microscopy data analysis.

We provide expert leadership for the entire product lifecycle, including the development of AI-enabled pipelines and custom algorithm development. Our proven experience in managing cross-functional teams helps guide research, development, and market strategy for complex software, including advanced microscopy data analysis.

We transform R&D into industry-leading products by leveraging AI-enabled pipelines. Our experience encompasses directing the complete development and commercialization of AutoDeblur, now recognized as the industry's gold-standard 3D deconvolution software, which is pivotal for advanced microscopy data analysis and custom algorithm development.

We help you build and fund your vision by leveraging AI-enabled pipelines. Our team can direct SBIR-funded research and act as Principal Investigator or Key Personnel on NIH and DOD-funded projects, focusing on custom algorithm development and microscopy data analysis to develop and commercialize innovative scientific platforms.

We can guide your platform's technical future by developing AI-enabled pipelines and custom algorithm development tailored for your needs. With our experience in pioneering the deployment of scalable, platform-independent scientific applications, we utilize both on-premises and cloud technologies, including Amazon Web Services (AWS) AppStream 2.0, to enhance microscopy data analysis.