Product List

Advanced Sperm Selection AI

SiD™

SiD™
AI sperm-selector assistant
that improves your outcome

Web Application

Advanced Sperm Selection AI SiD™

Real-time AI software that selects, tracks, and ranks high-quality sperm based on motility parameters.

  • Reduced work time

    Reduced work time

  • Standardized sperm selection

    Consistent sperm selection

  • Improved consistency

    Decreased variability in subjective assessment

  • Enhanced outcome

    Improved fertilization and blastocyst formation rate

  • Patient-friendly explanation

    Clear selection criteria, and easy patient explanation

  • Wide-field selection at low magnification

    Selection from a wide field at low magnification

  • Simple installation

    Simple installation

Real-time automatic detection criteria

Utilizing straight-line speed (VSL※1), curvilinear velocity (LIN※2), and head movement frequency (HMP※3) to calculate a unique SiD™ score and select the top three within the field of view.
※1 VSL: Straight-line velocity
※2 LIN: Linearity of the curvilinear path
※3 HMP: Head Movement Pattern

The excellent parameters presented by SiD™ ensure to lead good fertilization and blastocyst formation rates.

SiD™ resolves challenges related to embryologist proficiency leading to improved and consistent outcomes.

SiD™ in Data

Comparison of ICSI results after sperm sorting by this product and a senior embryologist
REFERENCE：
Montjean, D. et al. Automated Single-Sperm Selection Software (SiD) during ICSI: A Prospective Sibling Oocyte Evaluation. Medical Sciences 12, 19 (2024).
Mendizabal-Ruiz, G. et al. Computer software (SiD) assisted real-time single sperm selection associated with fertilization and blastocyst formation. Reprod. Biomed. Online 45, 703-711 (2022).

Product Information

  • This product is a service provided by UK-based IVF2.0.
    It can be used with an inverted microscope, a PC, and an internet connection.
    For more details, please refer to the specifications below.
  • SiD™ and ERICA™ are sold as a set under an annual contract and can be used without limitations on image volume or data capacity. They are not available for purchase separately.
  • SiD™ exclusively links with external cameras and does not retrieve data from the PC.
  • Handling of personal information complies with GDPR and HIPAA.

Recommended PC Specifications and Connectivity

【Recommended Hardware Requirements】
  • OS ： Windows10 or more

    (Minimum requirements : Updated Windows 8.1 or later)

  • CPU ： Intel Core i7-12700 or higher

    (Minimum requirements: Intel Core i5 with 8GB RAM, 4 multi-threaded cores, or 8 single cores)

    Series with T, F, P, or Y at the end, such as Intel Core i5-9400T, do not have integrated graphics unless the computer has a dedicated GPU. It is recommended to have

  • Memory ： 16GB RAM or more

    SSD or NVME storage (10GB of available space for software use)

  • Storage ： SSD or NVME storage (10GB of available space for software use)
  • Must be compatible with microscope capture function installed. (Equipped with DirectX)
【The following devices have been confirmed to be compatible】
1. Hamilton Thorne
2. WAT-902H Ultimate
3. OCTAX 1.3 MPixel
4. LUMENERA LW1135c
5. Octax EYE Camera
6. JAI

IVF2.0 and its logo are trademarks of IVF2.0 and are registered in various regions. All other trademarks belong to their respective owners.

Blastocyst Grading AI

Blastocyst Grading AI ERICA™

ERICA™
Embryo-Ranking Without Biopsy or Media Sampling

Web Application（SaaS）

Blastocyst Grading AI ERICA™

This web application ranks blastocysts based on predicted ploidy from images. Even euploid embryos, which are difficult to distinguish under a microscope, can be evaluated using AI trained on PGT-A and clinical pregnancy outcome data.

  • Auto-generated report

    Automatic report generation

  • Non-invasive evaluation

    Non-invasive evaluation

  • Embryo selection support

    Embryo selection support

  • No new hardware required

    No additional hardware purchase

Easing the Burden of Embryo Selection

ERICA™ analyzes blastocyst images to predict embryo euploidy with ERICA™ score, which is displayed in a four-color format. By helping to identify embryos with higher implantation potential, it is expected to improve pregnancy and live birth rates while reducing miscarriage rates. ERICA™ reduces workflow by streamlining embryo selection.

Four-color ERICA™ Score

Image-Based Embryo Scoring

Upload images from your microscope or time-lapse system to obtain results quickly. In addition to evaluating expanded blastocysts on Day 5-6, ERICA™ also assesses hatching blastocysts, providing broader applicability in clinical practice.

ERICA™ Scoring

100+ Morphological Features Extracted from Embryos

ERICA™ identifies and evaluates more than 100 morphological features of embryos that cannot be detected through microscope observation alone, scoring and ranking them accordingly.

ERICA™ in Data

Miscarriage Rates Classified by ERICA™ Score

Blastocysts with higher ERICA™ scores have a lower early miscarriage rate (before 9 weeks of pregnancy).

Classification ERICA™ Score Miscarriage Rate*(%)
(n=506)
■ Optimal Above 70 11.2
■ Good 50 to 69 17.9
■ Fair 30 to 49 22.2
■ Poor Less than 30 22.9

Average age 35.4 years

REFERENCE：
Chavez-Badiola, A. et al. O-235 ERICA (Embryo Ranking Intelligent Classification Assistant) AI predicts miscarriage in poorly ranked embryos from one static, non-invasive embryo image assessment. Hum. Reprod. 36, (2021).
Glatstein, I., Chavez-Badiola, A. & Curchoe, C. L. New frontiers in embryo selection. J. Assist. Reprod. Genet. 40, 223‒234 (2023).
Chavez-Badiola, A. et al. Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning. Sci. Rep. 10, 4394 (2020).
Farias, A. F.-S. et al. Automated identification of blastocyst regions at different development stages. Sci. Rep. 13, 15 (2023).
Chavez-Badiola, A., Flores-Saiffe-Farías, A., Mendizabal-Ruiz, G., Drakeley, A. J. & Cohen, J. Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation. Reprod.
Biomed. Online 41, 585‒593 (2020).
Chavez-Badiola, A. et al. ERICA (Embryo Ranking Intelligent Classification Assistant) AI predicts miscarriage in poorly ranked embryos from one static, non-invasive embryo image assessment. Hum.Reprod. 36.i135(2021)

Product Information

  • This product is a service provided by UK-based IVF2.0.
    It can be used with an inverted microscope, a PC, and an internet connection.
    For more details, please refer to the specifications below.
  • SiD™ and ERICA™ are sold as a set under an annual contract and can be used without limitations on image volume or data capacity. They are not available for purchase separately.
  • ERICA™ requires embryo images to be uploaded via the internet, but personal information is not required. Additionally, the data is strongly encrypted for security.
  • Handling of personal information complies with GDPR and HIPAA.

Recommended PC Specifications and Connectivity

PC capable of transferring images over the internet and within the hospital network.

IVF2.0 and its logo are trademarks of IVF2.0 and are registered in various regions. All other trademarks belong to their respective owners.

Inquiries About SiD™ / ERICA™

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