SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
SAVE UPTO 30% ON ORGANOID SERVICES & ASSAYS - Offer end 28 February 2026
Home » AFS » Long-Term Timelapse
Holotomography

Long-Term Timelapse

1000€+

Long-Term Timelapse

Understanding cellular processes such as activation, differentiation, and stress responses requires continuous observation of live cells over time. However, conventional imaging methods often rely on labels that limit long-term studies due to phototoxicity and photobleaching. Using Holotomography (HT), Lambda Biologics enables long-term, label-free observation of live cells in 3D, preserving cellular physiology throughout extended imaging periods.

Price
1000€+
Organism
Product Type
Tissue
Disease

Applications

Holotomography

Cell biology

Professor Lee Chang-seok Eulji University
Customer insight

Advancing K-Beauty with Skin Organoids: A Next-Generation Platform for Non-Animal Testing and High-Precision Cosmetic Innovation

With the global rise of K-beauty, the cosmetics industry continues to grow steadily. Since the ban on animal testing for cosmetics in Korea in 2017, various alternative testing methods have...

Tomocube (Spatial)
Customer insight

HT-X1: A Label-Free Imaging Breakthrough for Organoid-Based Disease Modeling and Drug Screening

Traditional microscopy methods often require fluorescent labeling to analyze cellular structures, which can be time-consuming and invasive. In contrast, our HT-X1 system allows for high-resolution visualization of cellular morphology without...

Seoul National University College of Medicine
Customer insight

Pioneering Spatial Protein Analysis in Korea: Advancing Clinical Pathology with Lambda Biologics’ Support

Traditional protein analysis has primarily focused on quantifying expression levels within tissue samples. However, recent advances in spatial analysis techniques have shifted attention toward evaluating not only expression levels, but...

K Research Institute
Customer insight

ODISEI-Gut Platform Reveals Immune-Boosting Potential of Kimchi-Derived Bacterial Strain

Among the many fermented foods we consume, kimchi is particularly known for containing a diverse range of lactic acid bacteria, which are believed to influence the activation of immune cells...

Bundang Jesaeng General Hospital
Customer insight

Multiplex Marker Analysis Enhances Research Efficiency with 31-Marker Detection on a Single Slide

We conducted a study focused on identifying disease-related markers using patient-derived tissue samples. However, traditional methods limited our ability to analyze multiple candidate markers simultaneously, and the limited availability of...

Description

Long-term Timelapse

HT effectively assesses changes in LPS-treated RAW 264.7 macrophages. The cells were imaged without labels, revealing that LPS causes an increase in cell volume and changes in surface area, sphericity, mean RI, protein concentration, and dry mass. These changes occur early and persist for up to 24 hours. HT is valuable for quantitatively analyzing live cell activation at the single-cell level.

Read out

Significant changes in quantitative parameters after LPS treatment
Volume, surface area and dry mass is increased (A-C), while mean RI, protein concentration and sphericity is decreased (D-F) in RAW 264.7 cells. Box plots represent min to max and show all points. Significance was calculated using values of 0, 2, 4, 6, 8 hours. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by one-way ANOVA with Tukey’s multiple comparison test; ns, not significant. (N; 0=15, 2=16, 4=21, 6=22, 8=17, 24=26.)
Continuous alterations in quantitative parameters after LPS administration

(A) Changes in mean RI of individual RAW 264.7 cells over short (2 hours, one tomogram per 2 minutes) time-scale monitoring. Each colored line represents the time trajectory of the recorded parameter of an individual RAW 264.7 cell. (B-D) The graphs present the first and the last recorded time-points of RAW 264.7 cell’s
mean RI, protein concentration, and volume measurement, respectively. Scatter dot with bar plot represents mean with SD and show all points.
****p < 0.0001 by paired t-test. (N=28)

Connect with Us