All Healthy Donor Samples | Human Biospecimens Online
healthy donors (self reported) all healthy donor samples

All Healthy Donor Samples

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Healthy Donor Samples represent a foundational element in biomedical research and serve as crucial control data against which patient samples can be compared.

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Central BioHub's online marketplace offers an extensive selection of healthy donor samples, preserved in cryogenic conditions at -196°C.

Plasma, urine, whole blood, stool, serum, saliva, PBMC, and tissue samples ( frozen and formalin-fixed paraffin-embedded (FFPE)) are part of Central BioHub’s healthy donor samples repository.

By maintaining a repository of these diverse biological matrices, Central BioHub empowers researchers to delve into a wide spectrum of scientific inquiries, from fundamental biological understanding to the development of diagnostic and therapeutic strategies. Each of these matrices offers valuable insights, from metabolic profiles present in urine to genetic information obtained from blood and the patient’s immunological status in PBMCs.

These samples are meticulously tested with high-precision assays to ensure reliability and validity.

By choosing Central BioHub's marketplace for high-quality, well-characterized healthy donor samples, the scientific community is equipped with a reliable resource to empower the future of personalized medicine and transformative healthcare solutions.

Explore advanced search options for procuring healthy donor samples by clicking clinical diagnosis, ICD-10-CM codes, and laboratory parameters.

Central BioHub offers a wide array of biological matrices including plasma, urine, whole blood, frozen and FFPE tissue samples, stool, serum, saliva, and peripheral blood mononuclear cells (PBMCs).
These samples are versatile and can be used in a multitude of research areas including immunology, genetics, oncology, metabolic disorders, infectious disease research, and microbiome studies.
Yes, Central BioHub allows you to search for samples with specific donor profiles based on the age, gender, ethnicity, and health status which can be selected by choosing the respective filters.